From b024456d61695e195214e18c5a1f959342edbd8c Mon Sep 17 00:00:00 2001 From: amrit110 Date: Wed, 19 Jun 2024 09:28:40 -0400 Subject: [PATCH] deploy: dd1b9efdb995868e7ed60ada4082c276a24df985 --- .../heart_failure_report_periodic.html | 32 +- api/examples/metrics.html | 196 +- api/examples/metrics.ipynb | 14490 ++-- api/examples/report.html | 96 +- api/examples/report.ipynb | 928 +- api/searchindex.js | 2 +- .../diabetes_130/readmission_prediction.html | 163 +- .../diabetes_130/readmission_prediction.ipynb | 9648 ++- .../kaggle/heart_failure_prediction.html | 90 +- .../kaggle/heart_failure_prediction.ipynb | 5024 +- .../kaggle/heart_failure_report_periodic.html | 152 +- .../mimiciv/mortality_prediction.html | 102 +- .../mimiciv/mortality_prediction.ipynb | 55294 ++++++++-------- .../mimiciv/mortality_report_periodic.html | 144 +- api/tutorials/nihcxr/cxr_classification.html | 44 +- api/tutorials/nihcxr/cxr_classification.ipynb | 4047 +- .../nihcxr/nihcxr_report_periodic.html | 6 +- .../length_of_stay_report_periodic.html | 148 +- api/tutorials/synthea/los_prediction.html | 154 +- api/tutorials/synthea/los_prediction.ipynb | 8933 ++- 20 files changed, 49736 insertions(+), 49957 deletions(-) diff --git a/api/examples/heart_failure_report_periodic.html b/api/examples/heart_failure_report_periodic.html index f1e62521f..db3f06965 100644 --- a/api/examples/heart_failure_report_periodic.html +++ b/api/examples/heart_failure_report_periodic.html @@ -1092,7 +1092,7 @@

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Preparing Result

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Fairness Evaluator

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Fairness Evaluator
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diff --git a/api/examples/metrics.ipynb b/api/examples/metrics.ipynb
index fdce5b402..b0f64bb64 100644
--- a/api/examples/metrics.ipynb
+++ b/api/examples/metrics.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-18T22:25:42.502500Z",
-     "iopub.status.busy": "2024-06-18T22:25:42.501509Z",
-     "iopub.status.idle": "2024-06-18T22:25:54.780506Z",
-     "shell.execute_reply": "2024-06-18T22:25:54.778259Z"
+     "iopub.execute_input": "2024-06-19T12:09:49.917147Z",
+     "iopub.status.busy": "2024-06-19T12:09:49.916344Z",
+     "iopub.status.idle": "2024-06-19T12:10:04.272780Z",
+     "shell.execute_reply": "2024-06-19T12:10:04.270570Z"
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@@ -43,10 +43,10 @@
    "execution_count": 2,
    "metadata": {
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-     "shell.execute_reply": "2024-06-18T22:25:54.861099Z"
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     }
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@@ -69,10 +69,10 @@
    "execution_count": 3,
    "metadata": {
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@@ -536,10 +536,10 @@
    "execution_count": 4,
    "metadata": {
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@@ -582,10 +582,10 @@
    "execution_count": 5,
    "metadata": {
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@@ -618,10 +618,10 @@
    "execution_count": 6,
    "metadata": {
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-     "shell.execute_reply": "2024-06-18T22:25:55.903143Z"
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@@ -667,10 +667,10 @@
    "execution_count": 7,
    "metadata": {
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@@ -711,10 +711,10 @@
    "execution_count": 8,
    "metadata": {
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@@ -767,10 +767,10 @@
    "execution_count": 9,
    "metadata": {
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-     "shell.execute_reply": "2024-06-18T22:25:55.997087Z"
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@@ -805,10 +805,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-18T22:25:56.005374Z",
-     "iopub.status.busy": "2024-06-18T22:25:56.004334Z",
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-     "shell.execute_reply": "2024-06-18T22:25:56.017639Z"
+     "iopub.execute_input": "2024-06-19T12:10:06.044165Z",
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    "outputs": [],
@@ -824,17 +824,17 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-06-18T22:25:56.488127Z"
+     "iopub.execute_input": "2024-06-19T12:10:06.071778Z",
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+     "shell.execute_reply": "2024-06-19T12:10:06.568069Z"
     }
    },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5f0340b6ed0f479f814021839ea29b8b",
+       "model_id": "c92a7d94c9fd475f9c7d9d441f4c8c32",
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@@ -848,7 +848,7 @@
     {
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@@ -862,7 +862,7 @@
     {
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-       "model_id": "e74d3ad996d74f9d9410ba7988af50e6",
+       "model_id": "9abab2487fc64dd192fda10f83b6e450",
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        "version_minor": 0
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@@ -876,7 +876,7 @@
     {
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@@ -900,7 +900,7 @@
     {
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@@ -914,7 +914,7 @@
     {
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-       "model_id": "0d6a6d8f709a4c35835ffaa5a189f951",
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@@ -950,10 +950,10 @@
    "execution_count": 12,
    "metadata": {
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-     "shell.execute_reply": "2024-06-18T22:25:58.767839Z"
+     "iopub.execute_input": "2024-06-19T12:10:06.577416Z",
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+     "shell.execute_reply": "2024-06-19T12:10:09.491103Z"
     }
    },
    "outputs": [
@@ -1001,8 +1001,8 @@
           "BinaryF1Score"
          ],
          "y": [
-          0.7333333492279053,
-          0.8301886916160583
+          0.7377049326896667,
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@@ -1013,8 +1013,8 @@
           "BinaryF1Score"
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-          0.6666666865348816,
-          0.6666666865348816
+          0.5,
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@@ -1025,8 +1025,8 @@
           "BinaryF1Score"
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+          0.800000011920929
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@@ -1038,7 +1038,7 @@
          ],
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           1.0,
-          0.800000011920929
+          1.0
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         {
@@ -1049,8 +1049,8 @@
           "BinaryF1Score"
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          "y": [
-          0.5,
-          0.5
+          0.3333333432674408,
+          0.4000000059604645
          ]
         },
         {
@@ -1061,8 +1061,8 @@
           "BinaryF1Score"
          ],
          "y": [
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-          0.7692307829856873
+          0.931034505367279,
+          0.7941176295280457
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@@ -1900,9 +1900,9 @@
        }
       },
       "text/html": [
-       "
                            
            

+
-
+
-
+
[27]:
@@ -1981,9 +1981,9 @@ 
Logging metrics and results to report
-
diff --git a/api/examples/report.ipynb b/api/examples/report.ipynb index 49b9c5d0e..22838ab19 100644 --- a/api/examples/report.ipynb +++ b/api/examples/report.ipynb @@ -5,10 +5,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:26:12.868387Z", - "iopub.status.busy": "2024-06-18T22:26:12.867474Z", - "iopub.status.idle": "2024-06-18T22:26:25.276832Z", - "shell.execute_reply": "2024-06-18T22:26:25.274786Z" + "iopub.execute_input": "2024-06-19T12:10:26.402654Z", + "iopub.status.busy": "2024-06-19T12:10:26.401356Z", + "iopub.status.idle": "2024-06-19T12:10:39.586144Z", + "shell.execute_reply": "2024-06-19T12:10:39.583742Z" } }, "outputs": [], @@ -58,10 +58,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:26:25.285449Z", - "iopub.status.busy": "2024-06-18T22:26:25.284212Z", - "iopub.status.idle": "2024-06-18T22:26:25.292496Z", - "shell.execute_reply": "2024-06-18T22:26:25.290949Z" + "iopub.execute_input": "2024-06-19T12:10:39.595630Z", + "iopub.status.busy": "2024-06-19T12:10:39.594219Z", + "iopub.status.idle": "2024-06-19T12:10:39.603723Z", + "shell.execute_reply": "2024-06-19T12:10:39.601939Z" } }, "outputs": [], @@ -74,10 +74,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:26:25.298963Z", - "iopub.status.busy": "2024-06-18T22:26:25.298032Z", - "iopub.status.idle": "2024-06-18T22:26:25.304804Z", - "shell.execute_reply": "2024-06-18T22:26:25.303315Z" + "iopub.execute_input": "2024-06-19T12:10:39.610518Z", + "iopub.status.busy": "2024-06-19T12:10:39.609544Z", + "iopub.status.idle": "2024-06-19T12:10:39.616918Z", + "shell.execute_reply": "2024-06-19T12:10:39.615241Z" } }, "outputs": [], @@ -100,10 +100,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:26:25.310991Z", - "iopub.status.busy": "2024-06-18T22:26:25.310434Z", - "iopub.status.idle": "2024-06-18T22:26:26.078138Z", - "shell.execute_reply": "2024-06-18T22:26:26.076316Z" + "iopub.execute_input": "2024-06-19T12:10:39.623859Z", + "iopub.status.busy": "2024-06-19T12:10:39.622853Z", + "iopub.status.idle": "2024-06-19T12:10:40.571928Z", + "shell.execute_reply": "2024-06-19T12:10:40.569853Z" } }, "outputs": [], @@ -122,10 +122,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:26:26.085803Z", - "iopub.status.busy": "2024-06-18T22:26:26.084918Z", - "iopub.status.idle": "2024-06-18T22:26:26.155505Z", - "shell.execute_reply": "2024-06-18T22:26:26.153785Z" + "iopub.execute_input": "2024-06-19T12:10:40.580221Z", + "iopub.status.busy": "2024-06-19T12:10:40.579093Z", + "iopub.status.idle": "2024-06-19T12:10:40.666531Z", + "shell.execute_reply": "2024-06-19T12:10:40.664591Z" } }, "outputs": [ @@ -275,10 +275,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:26:26.162281Z", - "iopub.status.busy": "2024-06-18T22:26:26.161405Z", - "iopub.status.idle": "2024-06-18T22:26:26.228645Z", - "shell.execute_reply": "2024-06-18T22:26:26.226959Z" + "iopub.execute_input": "2024-06-19T12:10:40.674173Z", + "iopub.status.busy": "2024-06-19T12:10:40.673257Z", + "iopub.status.idle": "2024-06-19T12:10:40.743866Z", + "shell.execute_reply": "2024-06-19T12:10:40.742019Z" } }, "outputs": [ @@ -420,10 +420,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:26:26.235356Z", - "iopub.status.busy": "2024-06-18T22:26:26.234497Z", - "iopub.status.idle": "2024-06-18T22:26:27.030241Z", - "shell.execute_reply": "2024-06-18T22:26:27.028442Z" + "iopub.execute_input": "2024-06-19T12:10:40.751053Z", + "iopub.status.busy": "2024-06-19T12:10:40.750238Z", + "iopub.status.idle": "2024-06-19T12:10:41.565706Z", + "shell.execute_reply": "2024-06-19T12:10:41.563864Z" } }, "outputs": [ @@ -2230,9 +2230,9 @@ } }, "text/html": [ - "
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@@ -1315,7 +1308,7 @@

Training 

-2024-06-18 18:30:53,620 INFO cyclops.models.wrappers.sk_model - Best scale_pos_weight: 9
+2024-06-19 08:18:53,697 INFO cyclops.models.wrappers.sk_model - Best scale_pos_weight: 9
@@ -1323,7 +1316,7 @@

Training 

-2024-06-18 18:30:53,622 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 1
+2024-06-19 08:18:53,699 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
@@ -1331,7 +1324,7 @@

Training 

-2024-06-18 18:30:53,623 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 100
+2024-06-19 08:18:53,700 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 100
@@ -1339,7 +1332,7 @@

Training 

-2024-06-18 18:30:53,625 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
+2024-06-19 08:18:53,701 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
@@ -1347,7 +1340,7 @@

Training 

-2024-06-18 18:30:53,626 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
+2024-06-19 08:18:53,703 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
@@ -1355,7 +1348,7 @@

Training 

-2024-06-18 18:30:53,627 INFO cyclops.models.wrappers.sk_model - Best gamma: 0
+2024-06-19 08:18:53,704 INFO cyclops.models.wrappers.sk_model - Best gamma: 1
@@ -1363,7 +1356,7 @@

Training 

-2024-06-18 18:30:53,628 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 0.7
+2024-06-19 08:18:53,705 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 1
@@ -1776,26 +1769,26 @@

Training background-color: var(--sklearn-color-fitted-level-3); } 
XGBClassifier(base_score=None, booster=None, callbacks=None,
-              colsample_bylevel=None, colsample_bynode=None,
-              colsample_bytree=0.7, early_stopping_rounds=None,
-              enable_categorical=False, eval_metric='logloss',
-              feature_types=None, gamma=0, gpu_id=None, grow_policy=None,
-              importance_type=None, interaction_constraints=None,
-              learning_rate=0.1, max_bin=None, max_cat_threshold=None,
-              max_cat_to_onehot=None, max_delta_step=None, max_depth=5,
-              max_leaves=None, min_child_weight=3, missing=nan,
-              monotone_constraints=None, n_estimators=100, n_jobs=None,
-              num_parallel_tree=None, predictor=None, random_state=123, ...)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

+ colsample_bylevel=None, colsample_bynode=None, colsample_bytree=1, + early_stopping_rounds=None, enable_categorical=False, + eval_metric='logloss', feature_types=None, gamma=1, gpu_id=None, + grow_policy=None, importance_type=None, + interaction_constraints=None, learning_rate=0.1, max_bin=None, + max_cat_threshold=None, max_cat_to_onehot=None, + max_delta_step=None, max_depth=5, max_leaves=None, + min_child_weight=3, missing=nan, monotone_constraints=None, + n_estimators=100, n_jobs=None, num_parallel_tree=None, + predictor=None, random_state=123, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org. 
[31]:
@@ -1811,7 +1804,7 @@ 
Training
 
-{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 0.7, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 0, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 5, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 100, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 1, 'sampling_method': None, 'scale_pos_weight': 9, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}
+{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 1, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 5, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 100, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 0, 'sampling_method': None, 'scale_pos_weight': 9, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}

Log the model parameters to the report.

@@ -1853,7 +1846,7 @@

Prediction

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Evaluation
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[39]:
@@ -2089,31 +2082,31 @@ 
Evaluation
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Log the performance metrics to the report.

We can add a performance metric to the model card using the log_performance_metric method, which expects a dictionary where the keys are in the following format: slice_name/metric_name. For instance, overall/accuracy.

@@ -2230,9 +2223,9 @@

Evaluation
-

diff --git a/api/tutorials/diabetes_130/readmission_prediction.ipynb b/api/tutorials/diabetes_130/readmission_prediction.ipynb index 248835215..0b5634f7b 100644 --- a/api/tutorials/diabetes_130/readmission_prediction.ipynb +++ b/api/tutorials/diabetes_130/readmission_prediction.ipynb @@ -23,10 +23,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:27:09.425262Z", - "iopub.status.busy": "2024-06-18T22:27:09.424329Z", - "iopub.status.idle": "2024-06-18T22:27:36.068155Z", - "shell.execute_reply": "2024-06-18T22:27:36.066042Z" + "iopub.execute_input": "2024-06-19T12:11:28.135409Z", + "iopub.status.busy": "2024-06-19T12:11:28.134422Z", + "iopub.status.idle": "2024-06-19T12:11:58.288946Z", + "shell.execute_reply": "2024-06-19T12:11:58.286892Z" }, "tags": [] }, @@ -56,13 +56,7 @@ "Requirement already satisfied: pyarrow<15.0.0,>=14.0.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (14.0.2)\r\n", "Requirement already satisfied: pybtex<0.25.0,>=0.24.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (0.24.0)\r\n", "Requirement already satisfied: pydantic<2.0.0,>=1.10.11 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (1.10.13)\r\n", - "Requirement already satisfied: scikit-learn<2.0.0,>=1.4.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (1.5.0)\r\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Requirement already satisfied: scikit-learn<2.0.0,>=1.4.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (1.5.0)\r\n", "Requirement already satisfied: scipy<2.0.0,>=1.11.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (1.13.0rc1)\r\n", "Requirement already satisfied: scour<0.39.0,>=0.38.2 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (0.38.2)\r\n", "Requirement already satisfied: spdx-tools<0.9.0,>=0.8.1 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (0.8.2)\r\n" @@ -83,15 +77,15 @@ "Requirement already satisfied: aiohttp in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from datasets<3.0.0,>=2.15.0->pycyclops) (3.9.5)\r\n", "Requirement already satisfied: huggingface-hub>=0.21.2 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from datasets<3.0.0,>=2.15.0->pycyclops) (0.22.2)\r\n", "Requirement already satisfied: packaging in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from datasets<3.0.0,>=2.15.0->pycyclops) (23.2)\r\n", - "Requirement already satisfied: pyyaml>=5.1 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from datasets<3.0.0,>=2.15.0->pycyclops) (6.0.1)\r\n" + "Requirement already satisfied: pyyaml>=5.1 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from datasets<3.0.0,>=2.15.0->pycyclops) (6.0.1)\r\n", + "Requirement already satisfied: omegaconf<2.4,>=2.2 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from hydra-core<2.0.0,>=1.2.0->pycyclops) (2.3.0)\r\n", + "Requirement already satisfied: antlr4-python3-runtime==4.9.* in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from hydra-core<2.0.0,>=1.2.0->pycyclops) (4.9.3)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: omegaconf<2.4,>=2.2 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from hydra-core<2.0.0,>=1.2.0->pycyclops) (2.3.0)\r\n", - "Requirement already satisfied: antlr4-python3-runtime==4.9.* in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from hydra-core<2.0.0,>=1.2.0->pycyclops) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from Jinja2<4.0.0,>=3.1.3->pycyclops) (2.1.3)\r\n" ] }, @@ -172,15 +166,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: aiosignal>=1.1.2 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from aiohttp->datasets<3.0.0,>=2.15.0->pycyclops) (1.3.1)\r\n", - "Requirement already satisfied: attrs>=17.3.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from aiohttp->datasets<3.0.0,>=2.15.0->pycyclops) (23.1.0)\r\n", - "Requirement already satisfied: frozenlist>=1.1.1 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from aiohttp->datasets<3.0.0,>=2.15.0->pycyclops) (1.4.1)\r\n" + "Requirement already satisfied: aiosignal>=1.1.2 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from aiohttp->datasets<3.0.0,>=2.15.0->pycyclops) (1.3.1)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Requirement already satisfied: attrs>=17.3.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from aiohttp->datasets<3.0.0,>=2.15.0->pycyclops) (23.1.0)\r\n", + "Requirement already satisfied: frozenlist>=1.1.1 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from aiohttp->datasets<3.0.0,>=2.15.0->pycyclops) (1.4.1)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from aiohttp->datasets<3.0.0,>=2.15.0->pycyclops) (6.0.4)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from aiohttp->datasets<3.0.0,>=2.15.0->pycyclops) (1.9.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from aiohttp->datasets<3.0.0,>=2.15.0->pycyclops) (4.0.3)\r\n" @@ -283,10 +277,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:27:36.076823Z", - "iopub.status.busy": "2024-06-18T22:27:36.075995Z", - "iopub.status.idle": "2024-06-18T22:27:49.325141Z", - "shell.execute_reply": "2024-06-18T22:27:49.323268Z" + "iopub.execute_input": "2024-06-19T12:11:58.297430Z", + "iopub.status.busy": "2024-06-19T12:11:58.296785Z", + "iopub.status.idle": "2024-06-19T12:12:12.121339Z", + "shell.execute_reply": "2024-06-19T12:12:12.119479Z" }, "tags": [] }, @@ -352,10 +346,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:27:49.333392Z", - "iopub.status.busy": "2024-06-18T22:27:49.332181Z", - "iopub.status.idle": "2024-06-18T22:27:49.340334Z", - "shell.execute_reply": "2024-06-18T22:27:49.338813Z" + "iopub.execute_input": "2024-06-19T12:12:12.129827Z", + "iopub.status.busy": "2024-06-19T12:12:12.128645Z", + "iopub.status.idle": "2024-06-19T12:12:12.136719Z", + "shell.execute_reply": "2024-06-19T12:12:12.135215Z" } }, "outputs": [], @@ -375,10 +369,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:27:49.346973Z", - "iopub.status.busy": "2024-06-18T22:27:49.346097Z", - "iopub.status.idle": "2024-06-18T22:27:49.353566Z", - "shell.execute_reply": "2024-06-18T22:27:49.352072Z" + "iopub.execute_input": "2024-06-19T12:12:12.143406Z", + "iopub.status.busy": "2024-06-19T12:12:12.142462Z", + "iopub.status.idle": "2024-06-19T12:12:12.149689Z", + "shell.execute_reply": "2024-06-19T12:12:12.148195Z" }, "tags": [] }, @@ -402,10 +396,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:27:49.360212Z", - "iopub.status.busy": "2024-06-18T22:27:49.359284Z", - "iopub.status.idle": "2024-06-18T22:29:05.482010Z", - "shell.execute_reply": "2024-06-18T22:29:05.478599Z" + "iopub.execute_input": "2024-06-19T12:12:12.156318Z", + "iopub.status.busy": "2024-06-19T12:12:12.155393Z", + "iopub.status.idle": "2024-06-19T12:12:16.500804Z", + "shell.execute_reply": "2024-06-19T12:12:16.498759Z" }, "tags": [] }, @@ -423,10 +417,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:29:05.492098Z", - "iopub.status.busy": "2024-06-18T22:29:05.491461Z", - "iopub.status.idle": "2024-06-18T22:29:05.516385Z", - "shell.execute_reply": "2024-06-18T22:29:05.514790Z" + "iopub.execute_input": "2024-06-19T12:12:16.509200Z", + "iopub.status.busy": "2024-06-19T12:12:16.507628Z", + "iopub.status.idle": "2024-06-19T12:12:16.531329Z", + "shell.execute_reply": "2024-06-19T12:12:16.529500Z" }, "tags": [] }, @@ -485,10 +479,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:29:05.523250Z", - "iopub.status.busy": "2024-06-18T22:29:05.522248Z", - "iopub.status.idle": "2024-06-18T22:29:05.731952Z", - "shell.execute_reply": "2024-06-18T22:29:05.730267Z" + "iopub.execute_input": "2024-06-19T12:12:16.539059Z", + "iopub.status.busy": "2024-06-19T12:12:16.537513Z", + "iopub.status.idle": "2024-06-19T12:12:16.730917Z", + "shell.execute_reply": "2024-06-19T12:12:16.728937Z" }, "tags": [] }, @@ -533,10 +527,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:29:05.739187Z", - "iopub.status.busy": "2024-06-18T22:29:05.738546Z", - "iopub.status.idle": "2024-06-18T22:29:05.748644Z", - "shell.execute_reply": "2024-06-18T22:29:05.747076Z" + "iopub.execute_input": "2024-06-19T12:12:16.739391Z", + "iopub.status.busy": "2024-06-19T12:12:16.738057Z", + "iopub.status.idle": "2024-06-19T12:12:16.748279Z", + "shell.execute_reply": "2024-06-19T12:12:16.746423Z" } }, "outputs": [], @@ -556,10 +550,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:29:05.755698Z", - "iopub.status.busy": "2024-06-18T22:29:05.754679Z", - "iopub.status.idle": "2024-06-18T22:29:05.822010Z", - "shell.execute_reply": "2024-06-18T22:29:05.820403Z" + "iopub.execute_input": "2024-06-19T12:12:16.755835Z", + "iopub.status.busy": "2024-06-19T12:12:16.754509Z", + "iopub.status.idle": "2024-06-19T12:12:16.821681Z", + "shell.execute_reply": "2024-06-19T12:12:16.819849Z" }, "tags": [] }, @@ -584,10 +578,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:29:05.828940Z", - "iopub.status.busy": "2024-06-18T22:29:05.828331Z", - "iopub.status.idle": "2024-06-18T22:29:06.508684Z", - "shell.execute_reply": "2024-06-18T22:29:06.506974Z" + "iopub.execute_input": "2024-06-19T12:12:16.829686Z", + "iopub.status.busy": "2024-06-19T12:12:16.828413Z", + "iopub.status.idle": "2024-06-19T12:12:17.524545Z", + "shell.execute_reply": "2024-06-19T12:12:17.522766Z" }, "tags": [] }, @@ -2477,9 +2471,9 @@ } }, "text/html": [ - "
+
@@ -1026,7 +1026,7 @@

Training 
-2024-06-18 18:31:51,320 INFO cyclops.models.wrappers.sk_model - Best alpha: 0.001
+2024-06-19 08:20:23,967 INFO cyclops.models.wrappers.sk_model - Best alpha: 0.001
@@ -1034,7 +1034,7 @@

Training 

-2024-06-18 18:31:51,341 INFO cyclops.models.wrappers.sk_model - Best eta0: 0.01
+2024-06-19 08:20:23,969 INFO cyclops.models.wrappers.sk_model - Best eta0: 0.01
@@ -1042,7 +1042,7 @@

Training 

-2024-06-18 18:31:51,342 INFO cyclops.models.wrappers.sk_model - Best learning_rate: adaptive
+2024-06-19 08:20:23,970 INFO cyclops.models.wrappers.sk_model - Best learning_rate: adaptive
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Prediction

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Evaluation
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Log the performance metrics to the report.

We can add a performance metric to the model card using the log_performance_metric method, which expects a dictionary where the keys are in the following format: slice_name/metric_name. For instance, overall/accuracy.

@@ -1873,9 +1873,9 @@

Evaluation
-

diff --git a/api/tutorials/kaggle/heart_failure_prediction.ipynb b/api/tutorials/kaggle/heart_failure_prediction.ipynb index 68032d536..d5c7f302f 100644 --- a/api/tutorials/kaggle/heart_failure_prediction.ipynb +++ b/api/tutorials/kaggle/heart_failure_prediction.ipynb @@ -21,10 +21,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:31:11.924712Z", - "iopub.status.busy": "2024-06-18T22:31:11.923633Z", - "iopub.status.idle": "2024-06-18T22:31:28.154826Z", - "shell.execute_reply": "2024-06-18T22:31:28.152796Z" + "iopub.execute_input": "2024-06-19T12:19:19.602805Z", + "iopub.status.busy": "2024-06-19T12:19:19.601740Z", + "iopub.status.idle": "2024-06-19T12:19:58.582200Z", + "shell.execute_reply": "2024-06-19T12:19:58.580269Z" }, "tags": [] }, @@ -90,10 +90,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:31:28.163798Z", - "iopub.status.busy": "2024-06-18T22:31:28.162328Z", - "iopub.status.idle": "2024-06-18T22:31:28.171359Z", - "shell.execute_reply": "2024-06-18T22:31:28.169677Z" + "iopub.execute_input": "2024-06-19T12:19:58.591170Z", + "iopub.status.busy": "2024-06-19T12:19:58.589854Z", + "iopub.status.idle": "2024-06-19T12:19:58.598203Z", + "shell.execute_reply": "2024-06-19T12:19:58.596617Z" } }, "outputs": [], @@ -113,10 +113,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:31:28.178215Z", - "iopub.status.busy": "2024-06-18T22:31:28.177298Z", - "iopub.status.idle": "2024-06-18T22:31:28.185114Z", - "shell.execute_reply": "2024-06-18T22:31:28.183559Z" + "iopub.execute_input": "2024-06-19T12:19:58.605352Z", + "iopub.status.busy": "2024-06-19T12:19:58.604386Z", + "iopub.status.idle": "2024-06-19T12:19:58.611966Z", + "shell.execute_reply": "2024-06-19T12:19:58.610334Z" }, "tags": [] }, @@ -142,10 +142,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:31:28.192028Z", - "iopub.status.busy": "2024-06-18T22:31:28.190938Z", - "iopub.status.idle": "2024-06-18T22:31:28.569485Z", - "shell.execute_reply": "2024-06-18T22:31:28.567741Z" + "iopub.execute_input": "2024-06-19T12:19:58.619133Z", + "iopub.status.busy": "2024-06-19T12:19:58.617790Z", + "iopub.status.idle": "2024-06-19T12:19:59.039638Z", + "shell.execute_reply": "2024-06-19T12:19:59.037710Z" }, "tags": [] }, @@ -165,10 +165,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:31:28.577791Z", - "iopub.status.busy": "2024-06-18T22:31:28.576227Z", - "iopub.status.idle": "2024-06-18T22:31:28.641130Z", - "shell.execute_reply": "2024-06-18T22:31:28.639440Z" + "iopub.execute_input": "2024-06-19T12:19:59.047858Z", + "iopub.status.busy": "2024-06-19T12:19:59.046689Z", + "iopub.status.idle": "2024-06-19T12:19:59.184005Z", + "shell.execute_reply": "2024-06-19T12:19:59.182121Z" }, "tags": [] }, @@ -177,7 +177,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 18:31:28,581 \u001b[1;37mINFO\u001b[0m cyclops.utils.file - Loading DataFrame from ./data/heart.csv\n" + "2024-06-19 08:19:59,051 \u001b[1;37mINFO\u001b[0m cyclops.utils.file - Loading DataFrame from ./data/heart.csv\n" ] }, { @@ -233,10 +233,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:31:28.648603Z", - "iopub.status.busy": "2024-06-18T22:31:28.647378Z", - "iopub.status.idle": "2024-06-18T22:31:29.385647Z", - "shell.execute_reply": "2024-06-18T22:31:29.383955Z" + "iopub.execute_input": "2024-06-19T12:19:59.191615Z", + "iopub.status.busy": "2024-06-19T12:19:59.190480Z", + "iopub.status.idle": "2024-06-19T12:20:01.319297Z", + "shell.execute_reply": "2024-06-19T12:20:01.317527Z" }, "tags": [] }, @@ -2044,9 +2044,9 @@ } }, "text/html": [ - "
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Version

- Date: 2024-06-18 + Date: 2024-06-19
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Model Parameters

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- 1000 +

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+ 0.1
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Max_iter

-

Random_state

- 123 +

Power_t

+ 0.5
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Random_state

-

Class_weight

- balanced +

Learning_rate

+ adaptive
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Class_weight

-

Average

- False +

Loss

+ log_loss
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Average

-

Loss

- log_loss +

Shuffle

+ True
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Loss

-

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- 0.1 +

Verbose

+ 0
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+ 0.15
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- 5 +

Class_weight

+ balanced
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Early_stopping

+ True
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Fit_intercept

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+ 0.001
diff --git a/api/tutorials/mimiciv/mortality_prediction.html b/api/tutorials/mimiciv/mortality_prediction.html index fc29c49e6..fae2fd897 100644 --- a/api/tutorials/mimiciv/mortality_prediction.html +++ b/api/tutorials/mimiciv/mortality_prediction.html @@ -603,7 +603,7 @@

Compute mortality (labels) 
-2024-06-18 18:32:32,834 INFO cycquery.orm    - Database setup, ready to run queries!
+2024-06-19 08:21:15,318 INFO cycquery.orm    - Database setup, ready to run queries!
@@ -611,7 +611,7 @@

Compute mortality (labels) 
-2024-06-18 18:32:52,057 INFO cycquery.orm    - Query returned successfully!
+2024-06-19 08:21:34,799 INFO cycquery.orm    - Query returned successfully!

@@ -619,7 +619,7 @@

Compute mortality (labels) 
-2024-06-18 18:32:52,059 INFO cycquery.utils.profile - Finished executing function run_query in 16.931625 s
+2024-06-19 08:21:34,801 INFO cycquery.utils.profile - Finished executing function run_query in 17.218976 s

@@ -646,7 +646,7 @@

Compute mortality (labels) 
-2024-06-18 18:35:05,026 INFO cycquery.orm    - Query returned successfully!
+2024-06-19 08:24:22,107 INFO cycquery.orm    - Query returned successfully!

@@ -654,7 +654,7 @@

Compute mortality (labels) 
-2024-06-18 18:35:05,028 INFO cycquery.utils.profile - Finished executing function run_query in 130.022810 s
+2024-06-19 08:24:22,109 INFO cycquery.utils.profile - Finished executing function run_query in 164.139054 s

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Drop NaNs based on the

-
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Training 
-2024-06-18 18:48:33,759 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
+2024-06-19 08:32:26,067 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 10
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Training 

-2024-06-18 18:48:33,761 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 250
+2024-06-19 08:32:26,068 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 100
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Training 

-2024-06-18 18:48:33,762 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
+2024-06-19 08:32:26,070 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
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Training 

-2024-06-18 18:48:33,763 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
+2024-06-19 08:32:26,071 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
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Training 

-2024-06-18 18:48:33,765 INFO cyclops.models.wrappers.sk_model - Best gamma: 0
+2024-06-19 08:32:26,072 INFO cyclops.models.wrappers.sk_model - Best gamma: 0
@@ -1245,7 +1245,7 @@

Training 

-2024-06-18 18:48:33,766 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 0.7
+2024-06-19 08:32:26,074 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 0.7
@@ -1666,7 +1666,7 @@

Training learning_rate=0.1, max_bin=None, max_cat_threshold=None, max_cat_to_onehot=None, max_delta_step=None, max_depth=5, max_leaves=None, min_child_weight=3, missing=nan, - monotone_constraints=None, n_estimators=250, n_jobs=None, + monotone_constraints=None, n_estimators=100, n_jobs=None, num_parallel_tree=None, predictor=None, random_state=123, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

@@ -1693,7 +1693,7 @@

Training 

-{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 0.7, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 0, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 5, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 250, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}
+{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 0.7, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 0, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 5, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 100, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 10, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}

Log the model parameters to the report.

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Prediction
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Evaluation

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Log the performance metrics to the report.

We can add a performance metric to the model card using the log_performance_metric method, which expects a dictionary where the keys are in the following format: slice_name/metric_name. For instance, overall/accuracy.

@@ -2064,9 +2064,9 @@

Evaluation
-

diff --git a/api/tutorials/mimiciv/mortality_prediction.ipynb b/api/tutorials/mimiciv/mortality_prediction.ipynb index 1a8ff2116..27833a426 100644 --- a/api/tutorials/mimiciv/mortality_prediction.ipynb +++ b/api/tutorials/mimiciv/mortality_prediction.ipynb @@ -21,10 +21,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:32:14.424877Z", - "iopub.status.busy": "2024-06-18T22:32:14.423880Z", - "iopub.status.idle": "2024-06-18T22:32:30.142117Z", - "shell.execute_reply": "2024-06-18T22:32:30.139931Z" + "iopub.execute_input": "2024-06-19T12:20:54.042964Z", + "iopub.status.busy": "2024-06-19T12:20:54.042267Z", + "iopub.status.idle": "2024-06-19T12:21:10.613927Z", + "shell.execute_reply": "2024-06-19T12:21:10.611716Z" } }, "outputs": [], @@ -89,10 +89,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:32:30.152069Z", - "iopub.status.busy": "2024-06-18T22:32:30.149643Z", - "iopub.status.idle": "2024-06-18T22:32:30.158995Z", - "shell.execute_reply": "2024-06-18T22:32:30.157347Z" + "iopub.execute_input": "2024-06-19T12:21:10.623550Z", + "iopub.status.busy": "2024-06-19T12:21:10.621387Z", + "iopub.status.idle": "2024-06-19T12:21:10.630948Z", + "shell.execute_reply": "2024-06-19T12:21:10.629198Z" } }, "outputs": [], @@ -112,10 +112,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:32:30.165872Z", - "iopub.status.busy": "2024-06-18T22:32:30.164799Z", - "iopub.status.idle": "2024-06-18T22:32:30.172706Z", - "shell.execute_reply": "2024-06-18T22:32:30.171160Z" + "iopub.execute_input": "2024-06-19T12:21:10.638155Z", + "iopub.status.busy": "2024-06-19T12:21:10.637061Z", + "iopub.status.idle": "2024-06-19T12:21:10.645439Z", + "shell.execute_reply": "2024-06-19T12:21:10.643691Z" } }, "outputs": [], @@ -147,10 +147,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:32:30.179668Z", - "iopub.status.busy": "2024-06-18T22:32:30.179100Z", - "iopub.status.idle": "2024-06-18T22:39:53.049987Z", - "shell.execute_reply": "2024-06-18T22:39:53.048016Z" + "iopub.execute_input": "2024-06-19T12:21:10.652818Z", + "iopub.status.busy": "2024-06-19T12:21:10.652039Z", + "iopub.status.idle": "2024-06-19T12:26:55.247275Z", + "shell.execute_reply": "2024-06-19T12:26:55.245277Z" } }, "outputs": [ @@ -158,21 +158,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 18:32:32,834 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" + "2024-06-19 08:21:15,318 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 18:32:52,057 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-19 08:21:34,799 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 18:32:52,059 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 16.931625 s\n" + "2024-06-19 08:21:34,801 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 17.218976 s\n" ] }, { @@ -196,14 +196,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 18:35:05,026 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-19 08:24:22,107 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 18:35:05,028 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 130.022810 s\n" + "2024-06-19 08:24:22,109 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 164.139054 s\n" ] }, { @@ -406,10 +406,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:39:53.058200Z", - "iopub.status.busy": "2024-06-18T22:39:53.057137Z", - "iopub.status.idle": "2024-06-18T22:39:53.433614Z", - "shell.execute_reply": "2024-06-18T22:39:53.431648Z" + "iopub.execute_input": "2024-06-19T12:26:55.255666Z", + "iopub.status.busy": "2024-06-19T12:26:55.254512Z", + "iopub.status.idle": "2024-06-19T12:26:55.628846Z", + "shell.execute_reply": "2024-06-19T12:26:55.627075Z" } }, "outputs": [ @@ -2407,9 +2407,9 @@ } }, "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting the ROC curves for all the slices\n", - "roc_plot = plotter.roc_curve_comparison(roc_curves, aurocs=aurocs)\n", - "report.log_plotly_figure(\n", - " fig=roc_plot,\n", - " caption=\"ROC Curve Comparison\",\n", - " section_name=\"quantitative analysis\",\n", - ")\n", - "roc_plot.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "execution": { - "iopub.execute_input": "2024-06-18T22:48:44.756725Z", - "iopub.status.busy": "2024-06-18T22:48:44.756049Z", - "iopub.status.idle": "2024-06-18T22:48:44.921705Z", - "shell.execute_reply": "2024-06-18T22:48:44.919978Z" - } - }, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "mode": "lines", - "name": "age:[20 - 50) (AUC = 0.34)", - "type": "scatter", - "x": [ - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 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Ethical Considerations

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var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\", \"25\": \"0.7\", \"26\": \"0.7\", \"27\": \"0.7\", \"28\": \"0.7\", \"29\": \"0.7\"}"); - var passed_all = JSON.parse("{\"0\": true, \"1\": false, \"2\": false, \"3\": false, \"4\": false, \"5\": false, \"6\": true, \"7\": false, \"8\": false, \"9\": false, \"10\": true, \"11\": false, \"12\": true, \"13\": false, \"14\": false, \"15\": false, \"16\": true, \"17\": false, \"18\": false, \"19\": false, \"20\": false, \"21\": false, \"22\": true, \"23\": false, \"24\": true, \"25\": false, \"26\": false, \"27\": false, \"28\": true, \"29\": false}"); + var passed_all = JSON.parse("{\"0\": true, \"1\": false, \"2\": false, \"3\": true, \"4\": true, \"5\": false, \"6\": true, \"7\": false, \"8\": false, \"9\": false, \"10\": true, \"11\": false, \"12\": false, \"13\": false, \"14\": false, \"15\": false, \"16\": true, \"17\": false, \"18\": true, \"19\": false, \"20\": false, \"21\": false, \"22\": true, \"23\": false, \"24\": true, \"25\": false, \"26\": false, \"27\": false, \"28\": true, \"29\": false}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Precision\", \"2\": \"Recall\", \"3\": \"F1 Score\", \"4\": \"AUROC\", \"5\": \"AveragePrecision\", \"6\": \"Accuracy\", \"7\": \"Precision\", \"8\": \"Recall\", \"9\": \"F1 Score\", \"10\": \"AUROC\", \"11\": \"AveragePrecision\", \"12\": \"Accuracy\", \"13\": \"Precision\", \"14\": \"Recall\", \"15\": \"F1 Score\", \"16\": \"AUROC\", \"17\": \"AveragePrecision\", \"18\": \"Accuracy\", \"19\": \"Precision\", \"20\": \"Recall\", \"21\": \"F1 Score\", \"22\": \"AUROC\", \"23\": \"AveragePrecision\", \"24\": \"Accuracy\", \"25\": \"Precision\", \"26\": \"Recall\", \"27\": \"F1 Score\", \"28\": \"AUROC\", \"29\": \"AveragePrecision\"}"); 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@@ -2669,7 +2669,7 @@

Ethical Considerations

function generate_model_card_plot() { var model_card_plots = [] var overall_indices = [24, 25, 26, 27, 28, 29] - var histories = JSON.parse("{\"0\": [\"0.9939939975738525\", \"0.8938736816541448\", \"0.8288387935162884\", \"0.8817038925590647\", \"0.9233455454119629\"], \"1\": [\"0.3333333432674408\", \"0.3018974359613805\", \"0.4725809229249579\", \"0.3319496414701689\", \"0.3996415443830778\"], \"2\": [\"0.3333333432674408\", \"0.3357113162685225\", \"0.4429468676563122\", \"0.4526711296659095\", \"0.4384393146618639\"], \"3\": [\"0.3333333432674408\", \"0.439713747660495\", \"0.36330687173809106\", \"0.41651603992856845\", \"0.38286603744596664\"], \"4\": [\"0.6158873438835144\", \"0.5844017943013682\", \"0.6780514257753033\", \"0.5342846917727335\", \"0.42973477811239025\"], \"5\": [\"0.3376387059688568\", \"0.31138590219415885\", \"0.17524630184468562\", \"0.25661316037483545\", \"0.20880763000319078\"], \"6\": [\"0.973381757736206\", \"1.0\", \"1.0\", \"0.8789979101601467\", \"0.8616941276263805\"], \"7\": [\"0.29411765933036804\", \"0.32189307198986383\", \"0.23125291071145437\", \"0.1414054488373097\", \"0.08869915963045988\"], \"8\": [\"0.3333333432674408\", \"0.17146802785065962\", \"0.21453091770241406\", \"0.25039291488743354\", \"0.35479654838407837\"], \"9\": [\"0.3125\", \"0.3592717487087309\", \"0.37984138030130044\", \"0.4273647102449482\", \"0.5573878832396901\"], \"10\": [\"0.849866509437561\", \"0.85411435830178\", \"0.9776924334405601\", \"1.0\", \"1.0\"], \"11\": [\"0.2106759399175644\", \"0.1192586369265939\", \"0.41475409016235926\", \"0.3362574964340801\", \"0.32506206293997414\"], \"12\": [\"0.9704769253730774\", \"0.8839382757410409\", \"0.9406042159877152\", \"0.8922087309814066\", \"0.9265016695442007\"], \"13\": [\"0.3529411852359772\", \"0.40818167441400444\", \"0.4064276860311827\", \"0.5381610567627184\", \"0.5586713812847107\"], \"14\": [\"0.4137931168079376\", \"0.3392933237614466\", \"0.19279251025120897\", \"0.12941840797671167\", \"0.09370771563807918\"], \"15\": [\"0.380952388048172\", \"0.3106489361446353\", \"0.45166622711215465\", \"0.49337376205575456\", \"0.49627066901784495\"], \"16\": [\"0.8169638514518738\", \"0.9095892986801305\", \"1.0\", \"1.0\", \"1.0\"], \"17\": [\"0.28511354327201843\", \"0.34346298969338324\", \"0.19735467562416797\", \"0.32696262155975936\", \"0.3595810531790629\"], \"18\": [\"0.9765012860298157\", \"0.8551388829716481\", \"0.8318349167121794\", \"0.7729175728620694\", \"0.6648890351431079\"], \"19\": [\"0.1818181872367859\", \"0.10419720096036617\", \"0.18297651010265975\", \"0.14253296935979726\", \"0.1722903732741474\"], \"20\": [\"0.1818181872367859\", \"0.2445146038718515\", \"0.37220527216111904\", \"0.28356854377890184\", \"0.2113467024378365\"], \"21\": [\"0.1818181872367859\", \"0.15984848573607088\", \"0.12502276938277992\", \"0.21149246419517964\", \"0.2160447502808701\"], \"22\": [\"0.8306140899658203\", \"0.8656678150288996\", \"0.9124757188832464\", \"0.9118058475500381\", \"0.9618156221596644\"], \"23\": [\"0.1222786158323288\", \"0.12691125824255378\", \"0.13774674322758368\", \"0.19528930527975819\", \"0.1829631433353341\"], \"24\": [\"0.9737119078636169\", \"1.0\", \"0.9416073814678874\", \"0.8677202993317165\", \"0.8721930194510102\"], \"25\": [\"0.2857142984867096\", \"0.3009249515996478\", \"0.35082277478993246\", \"0.4563416115840483\", \"0.5501000386991366\"], \"26\": [\"0.3137255012989044\", \"0.15716411525813473\", \"0.20141665177485943\", \"0.05734221834007644\", \"0.0\"], \"27\": [\"0.29906541109085083\", \"0.27199673636821986\", \"0.17293141590015143\", \"0.14910881069774484\", \"0.07478648851583831\"], \"28\": [\"0.8246420621871948\", \"0.6765095537327689\", \"0.7855206456506919\", \"0.6730410910947409\", \"0.8045630114266167\"], \"29\": [\"0.19694465398788452\", \"0.12215086723458371\", \"0.20384188768674932\", \"0.11632490796145038\", \"0.21885761289826328\"]}"); + var histories = JSON.parse("{\"0\": [\"0.9940119981765747\", \"0.8990034803724648\", \"0.8654173306568226\", \"0.8578570898484728\", \"0.7305736092058122\"], \"1\": [\"0.5\", \"0.49798395538998813\", \"0.58108745901367\", \"0.6273073089797665\", \"0.5779113127646972\"], \"2\": [\"0.5\", \"0.49326073354583255\", \"0.3900802965608784\", \"0.5152372699523954\", \"0.610725365443623\"], \"3\": [\"0.5\", \"0.6140561946615406\", \"0.9869274660808338\", \"0.7457297100003619\", \"0.7682146504644889\"], \"4\": [\"0.9585843086242676\", \"0.9403987421301968\", \"1.0\", \"1.0\", \"1.0\"], \"5\": [\"0.4548160135746002\", \"0.5804548420799063\", \"0.47195919042101403\", \"0.4478453812258454\", \"0.5088020940231094\"], \"6\": [\"0.9588956832885742\", \"0.9304182048103578\", \"0.8082234749367672\", \"0.8404452202046806\", \"0.7533117945164602\"], \"7\": [\"0.171875\", \"0.2439697359587429\", \"0.24565619262633553\", \"0.17942712146093265\", \"0.17947767535058815\"], \"8\": [\"0.4399999976158142\", \"0.3185574828561838\", \"0.4795743953857931\", \"0.5077432503738216\", \"0.5748189161812451\"], \"9\": [\"0.24719101190567017\", \"0.2594989381774185\", \"0.32162683516834556\", \"0.23297557150960535\", \"0.2303157487742531\"], \"10\": [\"0.8717508316040039\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"11\": [\"0.16066323220729828\", \"0.20342680659807877\", \"0.13000028479433196\", \"0.2679316681983206\", \"0.378047326399613\"], \"12\": [\"0.9583622217178345\", \"0.8075153964810902\", \"0.7665144311070895\", \"0.8752338618624509\", \"0.6994522081810748\"], \"13\": [\"0.23728813230991364\", \"0.4397381858600484\", \"0.46735580460329734\", \"0.41116667684355485\", \"0.2894863026770555\"], \"14\": [\"0.48275861144065857\", \"0.47925559857282635\", \"0.5024181887691623\", \"0.49053152144093903\", \"0.6544258543767297\"], \"15\": [\"0.3181818127632141\", \"0.48148317971131005\", \"0.3943807601944237\", \"0.3128474234489418\", \"0.43310486016645555\"], \"16\": [\"0.8685405254364014\", \"0.7748748455967142\", \"0.7006030566037836\", \"0.9501733821604367\", \"0.9434957167009034\"], \"17\": [\"0.21383292973041534\", \"0.2495746463666797\", \"0.2924866734154007\", \"0.22023590765017492\", \"0.29993336574460405\"], \"18\": [\"0.9695467352867126\", \"0.8671217930497943\", \"0.8098515041690066\", \"0.8141598999082966\", \"0.9910516560694892\"], \"19\": [\"0.21621622145175934\", \"0.24047197055288688\", \"0.11233073423961223\", \"0.0\", \"0.11109320946431155\"], \"20\": [\"0.3636363744735718\", \"0.12910325460872987\", \"0.2919493923485488\", \"0.21255495151995157\", \"0.33421398886497117\"], \"21\": [\"0.2711864411830902\", \"0.11197344960974512\", \"0.0\", \"0.0\", \"0.0\"], \"22\": [\"0.8639633655548096\", \"0.7890338138014806\", \"0.943280987071868\", \"0.9533052965024799\", \"0.8155343486381318\"], \"23\": [\"0.15713836252689362\", \"0.23341517883316448\", \"0.4122325786758586\", \"0.26856812583962536\", \"0.33110325891033693\"], \"24\": [\"0.9638976454734802\", \"0.9421057870590628\", \"0.9735094384903988\", \"1.0\", \"1.0\"], \"25\": [\"0.2291666716337204\", \"0.2660842095834012\", \"0.36597620151668286\", \"0.2723758489370926\", \"0.1914579453536686\"], \"26\": [\"0.4313725531101227\", \"0.23781404665585043\", \"0.05303549499958424\", \"0.2908459375933561\", \"0.3102826368373267\"], \"27\": [\"0.29931971430778503\", \"0.3729034969259989\", \"0.37456787141432124\", \"0.39495559510766426\", \"0.2732849011905781\"], \"28\": [\"0.8659360408782959\", \"0.9529830897087035\", \"1.0\", \"0.9903353711717878\", \"0.9109666309853589\"], \"29\": [\"0.1799396276473999\", \"0.18963870429079932\", \"0.1971824670113302\", \"0.2838655772613042\", \"0.21250984587909516\"]}"); var thresholds = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\", \"25\": \"0.7\", \"26\": \"0.7\", \"27\": \"0.7\", \"28\": \"0.7\", \"29\": \"0.7\"}"); var timestamps = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"16\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"17\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"18\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"19\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"20\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"21\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"22\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"23\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"24\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"25\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"26\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"27\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"28\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"29\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -2969,9 +2969,9 @@

Ethical Considerations

} } var slices_all = JSON.parse("{\"0\": [\"metric:Accuracy\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"1\": [\"metric:Precision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"2\": [\"metric:Recall\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"3\": [\"metric:F1 Score\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"4\": [\"metric:AUROC\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"5\": [\"metric:AveragePrecision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"6\": [\"metric:Accuracy\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"7\": [\"metric:Precision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"8\": [\"metric:Recall\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"9\": [\"metric:F1 Score\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"10\": [\"metric:AUROC\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"11\": [\"metric:AveragePrecision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"12\": [\"metric:Accuracy\", \"gender:M\", \"age:overall_age\"], \"13\": [\"metric:Precision\", \"gender:M\", \"age:overall_age\"], \"14\": [\"metric:Recall\", \"gender:M\", \"age:overall_age\"], \"15\": [\"metric:F1 Score\", \"gender:M\", \"age:overall_age\"], \"16\": [\"metric:AUROC\", \"gender:M\", \"age:overall_age\"], \"17\": [\"metric:AveragePrecision\", \"gender:M\", \"age:overall_age\"], \"18\": [\"metric:Accuracy\", \"gender:F\", \"age:overall_age\"], \"19\": [\"metric:Precision\", \"gender:F\", \"age:overall_age\"], \"20\": [\"metric:Recall\", \"gender:F\", \"age:overall_age\"], \"21\": [\"metric:F1 Score\", \"gender:F\", \"age:overall_age\"], \"22\": [\"metric:AUROC\", \"gender:F\", \"age:overall_age\"], \"23\": [\"metric:AveragePrecision\", \"gender:F\", \"age:overall_age\"], \"24\": [\"metric:Accuracy\", \"age:overall_age\", \"gender:overall_gender\"], \"25\": [\"metric:Precision\", \"age:overall_age\", \"gender:overall_gender\"], \"26\": [\"metric:Recall\", \"age:overall_age\", \"gender:overall_gender\"], \"27\": [\"metric:F1 Score\", \"age:overall_age\", \"gender:overall_gender\"], \"28\": [\"metric:AUROC\", \"age:overall_age\", \"gender:overall_gender\"], \"29\": [\"metric:AveragePrecision\", \"age:overall_age\", \"gender:overall_gender\"]}"); - var histories_all = JSON.parse("{\"0\": [\"0.9939939975738525\", \"0.8938736816541448\", \"0.8288387935162884\", \"0.8817038925590647\", \"0.9233455454119629\"], \"1\": [\"0.3333333432674408\", \"0.3018974359613805\", \"0.4725809229249579\", \"0.3319496414701689\", \"0.3996415443830778\"], \"2\": [\"0.3333333432674408\", \"0.3357113162685225\", \"0.4429468676563122\", \"0.4526711296659095\", \"0.4384393146618639\"], \"3\": [\"0.3333333432674408\", \"0.439713747660495\", \"0.36330687173809106\", \"0.41651603992856845\", \"0.38286603744596664\"], \"4\": [\"0.6158873438835144\", \"0.5844017943013682\", \"0.6780514257753033\", \"0.5342846917727335\", \"0.42973477811239025\"], \"5\": [\"0.3376387059688568\", \"0.31138590219415885\", \"0.17524630184468562\", \"0.25661316037483545\", \"0.20880763000319078\"], \"6\": [\"0.973381757736206\", \"1.0\", \"1.0\", \"0.8789979101601467\", \"0.8616941276263805\"], \"7\": [\"0.29411765933036804\", \"0.32189307198986383\", \"0.23125291071145437\", \"0.1414054488373097\", \"0.08869915963045988\"], \"8\": [\"0.3333333432674408\", \"0.17146802785065962\", \"0.21453091770241406\", \"0.25039291488743354\", \"0.35479654838407837\"], \"9\": [\"0.3125\", \"0.3592717487087309\", \"0.37984138030130044\", \"0.4273647102449482\", \"0.5573878832396901\"], \"10\": [\"0.849866509437561\", \"0.85411435830178\", \"0.9776924334405601\", \"1.0\", \"1.0\"], \"11\": [\"0.2106759399175644\", \"0.1192586369265939\", \"0.41475409016235926\", \"0.3362574964340801\", \"0.32506206293997414\"], \"12\": [\"0.9704769253730774\", \"0.8839382757410409\", \"0.9406042159877152\", \"0.8922087309814066\", \"0.9265016695442007\"], \"13\": [\"0.3529411852359772\", \"0.40818167441400444\", \"0.4064276860311827\", \"0.5381610567627184\", \"0.5586713812847107\"], \"14\": [\"0.4137931168079376\", \"0.3392933237614466\", \"0.19279251025120897\", \"0.12941840797671167\", \"0.09370771563807918\"], \"15\": [\"0.380952388048172\", \"0.3106489361446353\", \"0.45166622711215465\", \"0.49337376205575456\", \"0.49627066901784495\"], \"16\": [\"0.8169638514518738\", \"0.9095892986801305\", \"1.0\", \"1.0\", \"1.0\"], \"17\": [\"0.28511354327201843\", \"0.34346298969338324\", \"0.19735467562416797\", \"0.32696262155975936\", \"0.3595810531790629\"], \"18\": [\"0.9765012860298157\", \"0.8551388829716481\", \"0.8318349167121794\", \"0.7729175728620694\", \"0.6648890351431079\"], \"19\": [\"0.1818181872367859\", \"0.10419720096036617\", \"0.18297651010265975\", \"0.14253296935979726\", \"0.1722903732741474\"], \"20\": [\"0.1818181872367859\", \"0.2445146038718515\", \"0.37220527216111904\", \"0.28356854377890184\", \"0.2113467024378365\"], \"21\": [\"0.1818181872367859\", \"0.15984848573607088\", \"0.12502276938277992\", \"0.21149246419517964\", \"0.2160447502808701\"], \"22\": [\"0.8306140899658203\", \"0.8656678150288996\", \"0.9124757188832464\", \"0.9118058475500381\", \"0.9618156221596644\"], \"23\": [\"0.1222786158323288\", \"0.12691125824255378\", \"0.13774674322758368\", \"0.19528930527975819\", \"0.1829631433353341\"], \"24\": [\"0.9737119078636169\", \"1.0\", \"0.9416073814678874\", \"0.8677202993317165\", \"0.8721930194510102\"], \"25\": [\"0.2857142984867096\", \"0.3009249515996478\", \"0.35082277478993246\", \"0.4563416115840483\", \"0.5501000386991366\"], \"26\": [\"0.3137255012989044\", \"0.15716411525813473\", \"0.20141665177485943\", \"0.05734221834007644\", \"0.0\"], \"27\": [\"0.29906541109085083\", \"0.27199673636821986\", \"0.17293141590015143\", \"0.14910881069774484\", \"0.07478648851583831\"], \"28\": [\"0.8246420621871948\", \"0.6765095537327689\", \"0.7855206456506919\", \"0.6730410910947409\", \"0.8045630114266167\"], \"29\": [\"0.19694465398788452\", \"0.12215086723458371\", \"0.20384188768674932\", \"0.11632490796145038\", \"0.21885761289826328\"]}"); + var histories_all = JSON.parse("{\"0\": [\"0.9940119981765747\", \"0.8990034803724648\", \"0.8654173306568226\", \"0.8578570898484728\", \"0.7305736092058122\"], \"1\": [\"0.5\", \"0.49798395538998813\", \"0.58108745901367\", \"0.6273073089797665\", \"0.5779113127646972\"], \"2\": [\"0.5\", \"0.49326073354583255\", \"0.3900802965608784\", \"0.5152372699523954\", \"0.610725365443623\"], \"3\": [\"0.5\", \"0.6140561946615406\", \"0.9869274660808338\", \"0.7457297100003619\", \"0.7682146504644889\"], \"4\": [\"0.9585843086242676\", \"0.9403987421301968\", \"1.0\", \"1.0\", \"1.0\"], \"5\": [\"0.4548160135746002\", \"0.5804548420799063\", \"0.47195919042101403\", \"0.4478453812258454\", \"0.5088020940231094\"], \"6\": [\"0.9588956832885742\", \"0.9304182048103578\", \"0.8082234749367672\", \"0.8404452202046806\", \"0.7533117945164602\"], \"7\": [\"0.171875\", \"0.2439697359587429\", \"0.24565619262633553\", \"0.17942712146093265\", \"0.17947767535058815\"], \"8\": [\"0.4399999976158142\", \"0.3185574828561838\", \"0.4795743953857931\", \"0.5077432503738216\", \"0.5748189161812451\"], \"9\": [\"0.24719101190567017\", \"0.2594989381774185\", \"0.32162683516834556\", \"0.23297557150960535\", \"0.2303157487742531\"], \"10\": [\"0.8717508316040039\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"11\": [\"0.16066323220729828\", \"0.20342680659807877\", \"0.13000028479433196\", \"0.2679316681983206\", \"0.378047326399613\"], \"12\": [\"0.9583622217178345\", \"0.8075153964810902\", \"0.7665144311070895\", \"0.8752338618624509\", \"0.6994522081810748\"], \"13\": [\"0.23728813230991364\", \"0.4397381858600484\", \"0.46735580460329734\", \"0.41116667684355485\", \"0.2894863026770555\"], \"14\": [\"0.48275861144065857\", \"0.47925559857282635\", \"0.5024181887691623\", \"0.49053152144093903\", \"0.6544258543767297\"], \"15\": [\"0.3181818127632141\", \"0.48148317971131005\", \"0.3943807601944237\", \"0.3128474234489418\", \"0.43310486016645555\"], \"16\": [\"0.8685405254364014\", \"0.7748748455967142\", \"0.7006030566037836\", \"0.9501733821604367\", \"0.9434957167009034\"], \"17\": [\"0.21383292973041534\", \"0.2495746463666797\", \"0.2924866734154007\", \"0.22023590765017492\", \"0.29993336574460405\"], \"18\": [\"0.9695467352867126\", \"0.8671217930497943\", \"0.8098515041690066\", \"0.8141598999082966\", \"0.9910516560694892\"], \"19\": [\"0.21621622145175934\", \"0.24047197055288688\", \"0.11233073423961223\", \"0.0\", \"0.11109320946431155\"], \"20\": [\"0.3636363744735718\", \"0.12910325460872987\", \"0.2919493923485488\", \"0.21255495151995157\", \"0.33421398886497117\"], \"21\": [\"0.2711864411830902\", \"0.11197344960974512\", \"0.0\", \"0.0\", \"0.0\"], \"22\": [\"0.8639633655548096\", \"0.7890338138014806\", \"0.943280987071868\", \"0.9533052965024799\", \"0.8155343486381318\"], \"23\": [\"0.15713836252689362\", \"0.23341517883316448\", \"0.4122325786758586\", \"0.26856812583962536\", \"0.33110325891033693\"], \"24\": [\"0.9638976454734802\", \"0.9421057870590628\", \"0.9735094384903988\", \"1.0\", \"1.0\"], \"25\": [\"0.2291666716337204\", \"0.2660842095834012\", \"0.36597620151668286\", \"0.2723758489370926\", \"0.1914579453536686\"], \"26\": [\"0.4313725531101227\", \"0.23781404665585043\", \"0.05303549499958424\", \"0.2908459375933561\", \"0.3102826368373267\"], \"27\": [\"0.29931971430778503\", \"0.3729034969259989\", \"0.37456787141432124\", \"0.39495559510766426\", \"0.2732849011905781\"], \"28\": [\"0.8659360408782959\", \"0.9529830897087035\", \"1.0\", \"0.9903353711717878\", \"0.9109666309853589\"], \"29\": [\"0.1799396276473999\", \"0.18963870429079932\", \"0.1971824670113302\", \"0.2838655772613042\", \"0.21250984587909516\"]}"); var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\", \"25\": \"0.7\", \"26\": \"0.7\", \"27\": \"0.7\", \"28\": \"0.7\", \"29\": \"0.7\"}"); - var passed_all = JSON.parse("{\"0\": true, \"1\": false, \"2\": false, \"3\": false, \"4\": false, \"5\": false, \"6\": true, \"7\": false, \"8\": false, \"9\": false, \"10\": true, \"11\": false, \"12\": true, \"13\": false, \"14\": false, \"15\": false, \"16\": true, \"17\": false, \"18\": false, \"19\": false, \"20\": false, \"21\": false, \"22\": true, \"23\": false, \"24\": true, \"25\": false, \"26\": false, \"27\": false, \"28\": true, \"29\": false}"); + var passed_all = JSON.parse("{\"0\": true, \"1\": false, \"2\": false, \"3\": true, \"4\": true, \"5\": false, \"6\": true, \"7\": false, \"8\": false, \"9\": false, \"10\": true, \"11\": false, \"12\": false, \"13\": false, \"14\": false, \"15\": false, \"16\": true, \"17\": false, \"18\": true, \"19\": false, \"20\": false, \"21\": false, \"22\": true, \"23\": false, \"24\": true, \"25\": false, \"26\": false, \"27\": false, \"28\": true, \"29\": false}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Precision\", \"2\": \"Recall\", \"3\": \"F1 Score\", \"4\": \"AUROC\", \"5\": \"AveragePrecision\", \"6\": \"Accuracy\", \"7\": \"Precision\", \"8\": \"Recall\", \"9\": \"F1 Score\", \"10\": \"AUROC\", \"11\": \"AveragePrecision\", \"12\": \"Accuracy\", \"13\": \"Precision\", \"14\": \"Recall\", \"15\": \"F1 Score\", \"16\": \"AUROC\", \"17\": \"AveragePrecision\", \"18\": \"Accuracy\", \"19\": \"Precision\", \"20\": \"Recall\", \"21\": \"F1 Score\", \"22\": \"AUROC\", \"23\": \"AveragePrecision\", \"24\": \"Accuracy\", \"25\": \"Precision\", \"26\": \"Recall\", \"27\": \"F1 Score\", \"28\": \"AUROC\", \"29\": \"AveragePrecision\"}"); var timestamps_all = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"16\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"17\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"18\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"19\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"20\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"21\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"22\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"23\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"24\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"25\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"26\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"27\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"28\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"29\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -3484,7 +3484,7 @@

Ethical Considerations

]; // create global variable for max_n_evals - var histories = JSON.parse("{\"0\": [\"0.9939939975738525\", \"0.8938736816541448\", \"0.8288387935162884\", \"0.8817038925590647\", \"0.9233455454119629\"], \"1\": [\"0.3333333432674408\", \"0.3018974359613805\", \"0.4725809229249579\", \"0.3319496414701689\", \"0.3996415443830778\"], \"2\": [\"0.3333333432674408\", \"0.3357113162685225\", \"0.4429468676563122\", \"0.4526711296659095\", \"0.4384393146618639\"], \"3\": [\"0.3333333432674408\", \"0.439713747660495\", \"0.36330687173809106\", \"0.41651603992856845\", \"0.38286603744596664\"], \"4\": [\"0.6158873438835144\", \"0.5844017943013682\", \"0.6780514257753033\", \"0.5342846917727335\", \"0.42973477811239025\"], \"5\": [\"0.3376387059688568\", \"0.31138590219415885\", \"0.17524630184468562\", \"0.25661316037483545\", \"0.20880763000319078\"], \"6\": [\"0.973381757736206\", \"1.0\", \"1.0\", \"0.8789979101601467\", \"0.8616941276263805\"], \"7\": [\"0.29411765933036804\", \"0.32189307198986383\", \"0.23125291071145437\", \"0.1414054488373097\", \"0.08869915963045988\"], \"8\": [\"0.3333333432674408\", \"0.17146802785065962\", \"0.21453091770241406\", \"0.25039291488743354\", \"0.35479654838407837\"], \"9\": [\"0.3125\", \"0.3592717487087309\", \"0.37984138030130044\", \"0.4273647102449482\", \"0.5573878832396901\"], \"10\": [\"0.849866509437561\", \"0.85411435830178\", \"0.9776924334405601\", \"1.0\", \"1.0\"], \"11\": [\"0.2106759399175644\", \"0.1192586369265939\", \"0.41475409016235926\", \"0.3362574964340801\", \"0.32506206293997414\"], \"12\": [\"0.9704769253730774\", \"0.8839382757410409\", \"0.9406042159877152\", \"0.8922087309814066\", \"0.9265016695442007\"], \"13\": [\"0.3529411852359772\", \"0.40818167441400444\", \"0.4064276860311827\", \"0.5381610567627184\", \"0.5586713812847107\"], \"14\": [\"0.4137931168079376\", \"0.3392933237614466\", \"0.19279251025120897\", \"0.12941840797671167\", \"0.09370771563807918\"], \"15\": [\"0.380952388048172\", \"0.3106489361446353\", \"0.45166622711215465\", \"0.49337376205575456\", \"0.49627066901784495\"], \"16\": [\"0.8169638514518738\", \"0.9095892986801305\", \"1.0\", \"1.0\", \"1.0\"], \"17\": [\"0.28511354327201843\", \"0.34346298969338324\", \"0.19735467562416797\", \"0.32696262155975936\", \"0.3595810531790629\"], \"18\": [\"0.9765012860298157\", \"0.8551388829716481\", \"0.8318349167121794\", \"0.7729175728620694\", \"0.6648890351431079\"], \"19\": [\"0.1818181872367859\", \"0.10419720096036617\", \"0.18297651010265975\", \"0.14253296935979726\", \"0.1722903732741474\"], \"20\": [\"0.1818181872367859\", \"0.2445146038718515\", \"0.37220527216111904\", \"0.28356854377890184\", \"0.2113467024378365\"], \"21\": [\"0.1818181872367859\", \"0.15984848573607088\", \"0.12502276938277992\", \"0.21149246419517964\", \"0.2160447502808701\"], \"22\": [\"0.8306140899658203\", \"0.8656678150288996\", \"0.9124757188832464\", \"0.9118058475500381\", \"0.9618156221596644\"], \"23\": [\"0.1222786158323288\", \"0.12691125824255378\", \"0.13774674322758368\", \"0.19528930527975819\", \"0.1829631433353341\"], \"24\": [\"0.9737119078636169\", \"1.0\", \"0.9416073814678874\", \"0.8677202993317165\", \"0.8721930194510102\"], \"25\": [\"0.2857142984867096\", \"0.3009249515996478\", \"0.35082277478993246\", \"0.4563416115840483\", \"0.5501000386991366\"], \"26\": [\"0.3137255012989044\", \"0.15716411525813473\", \"0.20141665177485943\", \"0.05734221834007644\", \"0.0\"], \"27\": [\"0.29906541109085083\", \"0.27199673636821986\", \"0.17293141590015143\", \"0.14910881069774484\", \"0.07478648851583831\"], \"28\": [\"0.8246420621871948\", \"0.6765095537327689\", \"0.7855206456506919\", \"0.6730410910947409\", \"0.8045630114266167\"], \"29\": [\"0.19694465398788452\", \"0.12215086723458371\", \"0.20384188768674932\", \"0.11632490796145038\", \"0.21885761289826328\"]}"); + var histories = JSON.parse("{\"0\": [\"0.9940119981765747\", \"0.8990034803724648\", \"0.8654173306568226\", \"0.8578570898484728\", \"0.7305736092058122\"], \"1\": [\"0.5\", \"0.49798395538998813\", \"0.58108745901367\", \"0.6273073089797665\", \"0.5779113127646972\"], \"2\": [\"0.5\", \"0.49326073354583255\", \"0.3900802965608784\", \"0.5152372699523954\", \"0.610725365443623\"], \"3\": [\"0.5\", \"0.6140561946615406\", \"0.9869274660808338\", \"0.7457297100003619\", \"0.7682146504644889\"], \"4\": [\"0.9585843086242676\", \"0.9403987421301968\", \"1.0\", \"1.0\", \"1.0\"], \"5\": [\"0.4548160135746002\", \"0.5804548420799063\", \"0.47195919042101403\", \"0.4478453812258454\", \"0.5088020940231094\"], \"6\": [\"0.9588956832885742\", \"0.9304182048103578\", \"0.8082234749367672\", \"0.8404452202046806\", \"0.7533117945164602\"], \"7\": [\"0.171875\", \"0.2439697359587429\", \"0.24565619262633553\", \"0.17942712146093265\", \"0.17947767535058815\"], \"8\": [\"0.4399999976158142\", \"0.3185574828561838\", \"0.4795743953857931\", \"0.5077432503738216\", \"0.5748189161812451\"], \"9\": [\"0.24719101190567017\", \"0.2594989381774185\", \"0.32162683516834556\", \"0.23297557150960535\", \"0.2303157487742531\"], \"10\": [\"0.8717508316040039\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"11\": [\"0.16066323220729828\", \"0.20342680659807877\", \"0.13000028479433196\", \"0.2679316681983206\", \"0.378047326399613\"], \"12\": [\"0.9583622217178345\", \"0.8075153964810902\", \"0.7665144311070895\", \"0.8752338618624509\", \"0.6994522081810748\"], \"13\": [\"0.23728813230991364\", \"0.4397381858600484\", \"0.46735580460329734\", \"0.41116667684355485\", \"0.2894863026770555\"], \"14\": [\"0.48275861144065857\", \"0.47925559857282635\", \"0.5024181887691623\", \"0.49053152144093903\", \"0.6544258543767297\"], \"15\": [\"0.3181818127632141\", \"0.48148317971131005\", \"0.3943807601944237\", \"0.3128474234489418\", \"0.43310486016645555\"], \"16\": [\"0.8685405254364014\", \"0.7748748455967142\", \"0.7006030566037836\", \"0.9501733821604367\", \"0.9434957167009034\"], \"17\": [\"0.21383292973041534\", \"0.2495746463666797\", \"0.2924866734154007\", \"0.22023590765017492\", \"0.29993336574460405\"], \"18\": [\"0.9695467352867126\", \"0.8671217930497943\", \"0.8098515041690066\", \"0.8141598999082966\", \"0.9910516560694892\"], \"19\": [\"0.21621622145175934\", \"0.24047197055288688\", \"0.11233073423961223\", \"0.0\", \"0.11109320946431155\"], \"20\": [\"0.3636363744735718\", \"0.12910325460872987\", \"0.2919493923485488\", \"0.21255495151995157\", \"0.33421398886497117\"], \"21\": [\"0.2711864411830902\", \"0.11197344960974512\", \"0.0\", \"0.0\", \"0.0\"], \"22\": [\"0.8639633655548096\", \"0.7890338138014806\", \"0.943280987071868\", \"0.9533052965024799\", \"0.8155343486381318\"], \"23\": [\"0.15713836252689362\", \"0.23341517883316448\", \"0.4122325786758586\", \"0.26856812583962536\", \"0.33110325891033693\"], \"24\": [\"0.9638976454734802\", \"0.9421057870590628\", \"0.9735094384903988\", \"1.0\", \"1.0\"], \"25\": [\"0.2291666716337204\", \"0.2660842095834012\", \"0.36597620151668286\", \"0.2723758489370926\", \"0.1914579453536686\"], \"26\": [\"0.4313725531101227\", \"0.23781404665585043\", \"0.05303549499958424\", \"0.2908459375933561\", \"0.3102826368373267\"], \"27\": [\"0.29931971430778503\", \"0.3729034969259989\", \"0.37456787141432124\", \"0.39495559510766426\", \"0.2732849011905781\"], \"28\": [\"0.8659360408782959\", \"0.9529830897087035\", \"1.0\", \"0.9903353711717878\", \"0.9109666309853589\"], \"29\": [\"0.1799396276473999\", \"0.18963870429079932\", \"0.1971824670113302\", \"0.2838655772613042\", \"0.21250984587909516\"]}"); // get max_n_evals from histories var history_data = []; for (let i = 0; i < histories[0].length; i++) { diff --git a/api/tutorials/nihcxr/cxr_classification.html b/api/tutorials/nihcxr/cxr_classification.html index 19e268f88..0f2aa0137 100644 --- a/api/tutorials/nihcxr/cxr_classification.html +++ b/api/tutorials/nihcxr/cxr_classification.html @@ -459,13 +459,13 @@

Model Creation

-
+
-
+
@@ -539,19 +539,19 @@

Multilabel AUROC by Pathology and Sex

-
+
-
+
-
+
@@ -609,61 +609,61 @@

Multilabel AUROC by Pathology and Age
-
+
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+
-
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[8]:
@@ -717,9 +717,9 @@ 
Multilabel AUROC by Pathology and Age
-

diff --git a/api/tutorials/nihcxr/cxr_classification.ipynb b/api/tutorials/nihcxr/cxr_classification.ipynb index a428b45a8..bec57360e 100644 --- a/api/tutorials/nihcxr/cxr_classification.ipynb +++ b/api/tutorials/nihcxr/cxr_classification.ipynb @@ -24,10 +24,10 @@ "id": "fc1eb72a", "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:49:05.576651Z", - "iopub.status.busy": "2024-06-18T22:49:05.575822Z", - "iopub.status.idle": "2024-06-18T22:49:25.907607Z", - "shell.execute_reply": "2024-06-18T22:49:25.905250Z" + "iopub.execute_input": "2024-06-19T12:32:53.919315Z", + "iopub.status.busy": "2024-06-19T12:32:53.918181Z", + "iopub.status.idle": "2024-06-19T12:33:06.841919Z", + "shell.execute_reply": "2024-06-19T12:33:06.839820Z" } }, "outputs": [], @@ -69,10 +69,10 @@ "id": "25c2a16f", "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T22:49:25.917563Z", - "iopub.status.busy": "2024-06-18T22:49:25.915447Z", - "iopub.status.idle": "2024-06-18T23:12:49.223602Z", - "shell.execute_reply": "2024-06-18T23:12:49.221371Z" + "iopub.execute_input": "2024-06-19T12:33:06.851061Z", + "iopub.status.busy": "2024-06-19T12:33:06.849468Z", + "iopub.status.idle": "2024-06-19T12:58:40.285778Z", + "shell.execute_reply": "2024-06-19T12:58:40.283627Z" }, "nbsphinx": "hidden" }, @@ -90,11 +90,33 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 100%|########| 1000/1000 [04:11<00:00, 3.98 examples/s]\r", - "Flattening the indices: 100%|########| 1000/1000 [04:11<00:00, 3.97 examples/s]\r\n", + "Flattening the indices: 100%|########| 1000/1000 [03:55<00:00, 4.24 examples/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\r", - "Flattening the indices: 0%| | 0/1000 [00:00 Patient Gender:M: 0%| | 0/400 [00:00 Patient Gender:M: 100%|###| 400/400 [00:00<00:00, 37934.33 examples/s]\r\n" + "Filter -> Patient Gender:M: 100%|###| 400/400 [00:00<00:00, 20832.46 examples/s]\r\n" ] }, { @@ -160,7 +182,9 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Gender:F: 100%|###| 400/400 [00:00<00:00, 38424.33 examples/s]\r\n" + "Filter -> Patient Gender:F: 100%|###| 400/400 [00:00<00:00, 38259.60 examples/s]\r\n", + "\r", + "Filter -> overall: 0%| | 0/400 [00:00 overall: 0%| | 0/400 [00:00 overall: 100%|############| 400/400 [00:00<00:00, 42398.83 examples/s]\r\n" + "Filter -> overall: 100%|############| 400/400 [00:00<00:00, 41943.04 examples/s]\r\n" ] }, { @@ -185,9 +208,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[19 - 35]: 100%|#| 400/400 [00:00<00:00, 33022.77 examples\r\n", - "\r", - "Filter -> Patient Age:[35 - 65]: 0%| | 0/400 [00:00 Patient Age:[19 - 35]: 100%|#| 400/400 [00:00<00:00, 12298.84 examples\r\n" ] }, { @@ -195,7 +216,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]: 100%|#| 400/400 [00:00<00:00, 34154.87 examples\r\n" + "Filter -> Patient Age:[35 - 65]: 0%| | 0/400 [00:00 Patient Age:[35 - 65]: 100%|#| 400/400 [00:00<00:00, 33876.26 examples\r\n" ] }, { @@ -204,7 +226,7 @@ "text": [ "\r", "Filter -> Patient Age:[65 - 100]: 0%| | 0/400 [00:00 Patient Age:[65 - 100]: 100%|#| 400/400 [00:00<00:00, 34516.76 example\r\n" + "Filter -> Patient Age:[65 - 100]: 100%|#| 400/400 [00:00<00:00, 34527.41 example\r\n" ] }, { @@ -213,10 +235,18 @@ "text": [ "\r", "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/400 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00, \r\n", + "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00, \r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\r", "Filter -> Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00, \r\n" + "Filter -> Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00, \r\n", + "\r", + "Filter -> Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/400 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/400 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00, \r\n" + "Filter -> Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00, \r\n", + "\r", + "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[35 - 65]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[35 - 65]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00, \r\n" + "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00, \r\n", + "\r", + "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/400 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/400 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00,\r\n" + "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00,\r\n", + "\r", + "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00,\r\n" ] }, { @@ -251,10 +285,16 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00,\r\n", + "Filter -> overall: 0%| | 0/400 [00:00 overall: 100%|############| 400/400 [00:00<00:00, 42579.61 examples/s]\r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\r", - "Filter -> overall: 0%| | 0/400 [00:00 overall: 100%|############| 400/400 [00:00<00:00, 42875.58 examples/s]\r\n" + "Flattening the indices: 100%|########| 1000/1000 [03:57<00:00, 4.21 examples/s]" ] }, { @@ -270,7 +310,7 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 0%| | 0/1000 [00:00 Patient Gender:M: 0%| | 0/396 [00:00 Patient Gender:M: 100%|###| 396/396 [00:00<00:00, 35634.94 examples/s]\r\n" + "Filter -> Patient Gender:M: 0%| | 0/396 [00:00 Patient Gender:M: 100%|###| 396/396 [00:00<00:00, 16225.23 examples/s]\r\n" ] }, { @@ -343,7 +386,7 @@ "text": [ "\r", "Filter -> Patient Gender:F: 0%| | 0/396 [00:00 Patient Gender:F: 100%|###| 396/396 [00:00<00:00, 37087.07 examples/s]\r\n" + "Filter -> Patient Gender:F: 100%|###| 396/396 [00:00<00:00, 39412.11 examples/s]\r\n" ] }, { @@ -352,7 +395,15 @@ "text": [ "\r", "Filter -> overall: 0%| | 0/396 [00:00 overall: 100%|############| 396/396 [00:00<00:00, 39852.78 examples/s]\r\n" + "Filter -> overall: 100%|############| 396/396 [00:00<00:00, 42647.37 examples/s]\r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\r", + "Filter -> Patient Age:[19 - 35]: 0%| | 0/396 [00:00 Patient Age:[19 - 35]: 0%| | 0/396 [00:00 Patient Age:[19 - 35]: 100%|#| 396/396 [00:00<00:00, 32134.04 examples\r\n" + "Filter -> Patient Age:[19 - 35]: 100%|#| 396/396 [00:00<00:00, 9146.72 examples/\r\n" ] }, { @@ -370,7 +420,7 @@ "text": [ "\r", "Filter -> Patient Age:[35 - 65]: 0%| | 0/396 [00:00 Patient Age:[35 - 65]: 100%|#| 396/396 [00:00<00:00, 33436.22 examples\r\n" + "Filter -> Patient Age:[35 - 65]: 100%|#| 396/396 [00:00<00:00, 33772.07 examples\r\n" ] }, { @@ -379,7 +429,7 @@ "text": [ "\r", "Filter -> Patient Age:[65 - 100]: 0%| | 0/396 [00:00 Patient Age:[65 - 100]: 100%|#| 396/396 [00:00<00:00, 33006.98 example\r\n" + "Filter -> Patient Age:[65 - 100]: 100%|#| 396/396 [00:00<00:00, 33616.23 example\r\n" ] }, { @@ -399,7 +449,8 @@ "Filter -> Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/396 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 396/396 [00:00<00:00, \r\n", "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/396 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/396 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 396/396 [00:00<00:00, \r\n" ] }, { @@ -407,9 +458,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 396/396 [00:00<00:00, \r\n", - "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 0%| | 0/396 [00:00 Patient Age:[35 - 65]&Patient Gender:F: 0%| | 0/396 [00:00 Patient Age:[35 - 65]&Patient Gender:F: 100%|#| 396/396 [00:00<00:00, \r\n" ] }, { @@ -417,16 +467,14 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 100%|#| 396/396 [00:00<00:00, \r\n" + "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/396 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 396/396 [00:00<00:00,\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/396 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 396/396 [00:00<00:00,\r\n", "\r", "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/396 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 396/396 [00:00<00:00,\r\n" @@ -438,7 +486,7 @@ "text": [ "\r", "Filter -> overall: 0%| | 0/396 [00:00 overall: 100%|############| 396/396 [00:00<00:00, 42082.25 examples/s]\r\n" + "Filter -> overall: 100%|############| 396/396 [00:00<00:00, 41524.65 examples/s]\r\n" ] }, { @@ -454,7 +502,7 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 100%|########| 1000/1000 [04:22<00:00, 3.81 examples/s]" + "Flattening the indices: 100%|########| 1000/1000 [03:47<00:00, 4.39 examples/s]" ] }, { @@ -462,10 +510,12 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 100%|########| 1000/1000 [04:22<00:00, 3.81 examples/s]\r\n", + "Flattening the indices: 100%|########| 1000/1000 [03:47<00:00, 4.39 examples/s]\r\n", "\r", "Flattening the indices: 0%| | 0/1000 [00:00 Patient Gender:M: 0%| | 0/383 [00:00 Patient Gender:M: 100%|###| 383/383 [00:00<00:00, 35486.06 examples/s]\r\n" + "Filter -> Patient Gender:M: 100%|###| 383/383 [00:00<00:00, 36701.36 examples/s]\r\n" ] }, { @@ -517,8 +566,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Gender:F: 0%| | 0/383 [00:00 Patient Gender:F: 100%|###| 383/383 [00:00<00:00, 35906.44 examples/s]\r\n" + "Filter -> Patient Gender:F: 0%| | 0/383 [00:00 overall: 0%| | 0/383 [00:00 overall: 100%|############| 383/383 [00:00<00:00, 38749.96 examples/s]\r\n" + "Filter -> Patient Gender:F: 100%|###| 383/383 [00:00<00:00, 37172.70 examples/s]\r\n", + "\r", + "Filter -> overall: 0%| | 0/383 [00:00 Patient Age:[19 - 35]: 0%| | 0/383 [00:00 Patient Age:[19 - 35]: 100%|#| 383/383 [00:00<00:00, 31436.76 examples\r\n" + "Filter -> overall: 100%|############| 383/383 [00:00<00:00, 39991.50 examples/s]\r\n" ] }, { @@ -544,8 +592,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]: 0%| | 0/383 [00:00 Patient Age:[35 - 65]: 100%|#| 383/383 [00:00<00:00, 32533.74 examples\r\n" + "Filter -> Patient Age:[19 - 35]: 0%| | 0/383 [00:00 Patient Age:[65 - 100]: 0%| | 0/383 [00:00 Patient Age:[19 - 35]: 100%|#| 383/383 [00:00<00:00, 12741.06 examples\r\n" ] }, { @@ -561,10 +608,17 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[65 - 100]: 100%|#| 383/383 [00:00<00:00, 32718.61 example\r\n", + "Filter -> Patient Age:[35 - 65]: 0%| | 0/383 [00:00 Patient Age:[35 - 65]: 100%|#| 383/383 [00:00<00:00, 33306.07 examples\r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\r", - "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/383 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 383/383 [00:00<00:00, \r\n" + "Filter -> Patient Age:[65 - 100]: 0%| | 0/383 [00:00 Patient Age:[65 - 100]: 100%|#| 383/383 [00:00<00:00, 32694.64 example\r\n" ] }, { @@ -572,14 +626,18 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/383 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 383/383 [00:00<00:00, \r\n" + "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/383 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 383/383 [00:00<00:00, \r\n", + "\r", + "Filter -> Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/383 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 383/383 [00:00<00:00, \r\n", "\r", "Filter -> Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/383 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 383/383 [00:00<00:00, \r\n" @@ -600,9 +658,7 @@ "text": [ "\r", "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/383 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 383/383 [00:00<00:00,\r\n", - "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/383 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 383/383 [00:00<00:00,\r\n" ] }, { @@ -610,10 +666,11 @@ "output_type": "stream", "text": [ "\r", + "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/383 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 383/383 [00:00<00:00,\r\n", "\r", "Filter -> overall: 0%| | 0/383 [00:00 overall: 100%|############| 383/383 [00:00<00:00, 40196.64 examples/s]\r\n" + "Filter -> overall: 100%|############| 383/383 [00:00<00:00, 41134.32 examples/s]\r\n" ] }, { @@ -629,7 +686,7 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 100%|########| 1000/1000 [04:03<00:00, 4.11 examples/s]" + "Flattening the indices: 100%|########| 1000/1000 [03:50<00:00, 4.34 examples/s]" ] }, { @@ -637,10 +694,25 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 100%|########| 1000/1000 [04:03<00:00, 4.11 examples/s]\r\n", + "Flattening the indices: 100%|########| 1000/1000 [03:50<00:00, 4.34 examples/s]\r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\r", - "Flattening the indices: 0%| | 0/1000 [00:00 Patient Gender:M: 0%| | 0/411 [00:00 Patient Gender:M: 100%|###| 411/411 [00:00<00:00, 38629.03 examples/s]\r\n" + "Filter -> Patient Gender:M: 100%|###| 411/411 [00:00<00:00, 21031.65 examples/s]\r\n" ] }, { @@ -692,8 +763,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Gender:F: 0%| | 0/411 [00:00 Patient Gender:F: 100%|###| 411/411 [00:00<00:00, 39590.72 examples/s]\r\n" + "Filter -> Patient Gender:F: 0%| | 0/411 [00:00 overall: 0%| | 0/411 [00:00 Patient Gender:F: 100%|###| 411/411 [00:00<00:00, 38295.21 examples/s]\r\n" ] }, { @@ -709,7 +779,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> overall: 100%|############| 411/411 [00:00<00:00, 43049.12 examples/s]\r\n" + "Filter -> overall: 0%| | 0/411 [00:00 overall: 100%|############| 411/411 [00:00<00:00, 42486.79 examples/s]\r\n" ] }, { @@ -717,18 +788,17 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[19 - 35]: 0%| | 0/411 [00:00 Patient Age:[19 - 35]: 0%| | 0/411 [00:00 Patient Age:[19 - 35]: 100%|#| 411/411 [00:00<00:00, 10326.22 examples\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\r", - "Filter -> Patient Age:[19 - 35]: 100%|#| 411/411 [00:00<00:00, 33366.09 examples\r\n", "\r", "Filter -> Patient Age:[35 - 65]: 0%| | 0/411 [00:00 Patient Age:[35 - 65]: 100%|#| 411/411 [00:00<00:00, 34589.94 examples\r\n" + "Filter -> Patient Age:[35 - 65]: 100%|#| 411/411 [00:00<00:00, 35208.82 examples\r\n" ] }, { @@ -736,10 +806,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[65 - 100]: 0%| | 0/411 [00:00 Patient Age:[65 - 100]: 100%|#| 411/411 [00:00<00:00, 35272.21 example\r\n", - "\r", - "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/411 [00:00 Patient Age:[65 - 100]: 0%| | 0/411 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 411/411 [00:00<00:00, \r\n", + "Filter -> Patient Age:[65 - 100]: 100%|#| 411/411 [00:00<00:00, 35065.58 example\r\n", + "\r", + "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/411 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 411/411 [00:00<00:00, \r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\r", "Filter -> Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/411 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 411/411 [00:00<00:00, \r\n" @@ -777,7 +853,9 @@ "text": [ "\r", "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/411 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 411/411 [00:00<00:00,\r\n" + "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 411/411 [00:00<00:00,\r\n", + "\r", + "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/411 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/411 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 411/411 [00:00<00:00,\r\n", "\r", "Filter -> overall: 0%| | 0/411 [00:00 overall: 100%|############| 411/411 [00:00<00:00, 43514.21 examples/s]\r\n" + "Filter -> overall: 100%|############| 411/411 [00:00<00:00, 41703.57 examples/s]\r\n" ] } ], @@ -837,10 +914,10 @@ "id": "03edf1c0", "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T23:12:49.233363Z", - "iopub.status.busy": "2024-06-18T23:12:49.231816Z", - "iopub.status.idle": "2024-06-18T23:12:49.241067Z", - "shell.execute_reply": "2024-06-18T23:12:49.239502Z" + "iopub.execute_input": "2024-06-19T12:58:40.328401Z", + "iopub.status.busy": "2024-06-19T12:58:40.327550Z", + "iopub.status.idle": "2024-06-19T12:58:40.336669Z", + "shell.execute_reply": "2024-06-19T12:58:40.335067Z" } }, "outputs": [], @@ -862,10 +939,10 @@ "id": "6514120e", "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T23:12:49.248853Z", - "iopub.status.busy": "2024-06-18T23:12:49.247785Z", - "iopub.status.idle": "2024-06-18T23:13:07.959236Z", - "shell.execute_reply": "2024-06-18T23:13:07.957341Z" + "iopub.execute_input": "2024-06-19T12:58:40.343587Z", + "iopub.status.busy": "2024-06-19T12:58:40.342625Z", + "iopub.status.idle": "2024-06-19T12:58:59.885266Z", + "shell.execute_reply": "2024-06-19T12:58:59.883314Z" } }, "outputs": [], @@ -909,17 +986,17 @@ "id": "5f624ed4", "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T23:13:07.967338Z", - "iopub.status.busy": "2024-06-18T23:13:07.966224Z", - "iopub.status.idle": "2024-06-18T23:13:47.709351Z", - "shell.execute_reply": "2024-06-18T23:13:47.707542Z" + "iopub.execute_input": "2024-06-19T12:58:59.893488Z", + "iopub.status.busy": "2024-06-19T12:58:59.892385Z", + "iopub.status.idle": "2024-06-19T12:59:38.047970Z", + "shell.execute_reply": "2024-06-19T12:59:38.045947Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cae2695a7d9440af802059dc50a5872b", + "model_id": "7bd8596a083c4215b5053a269e44c3b2", "version_major": 2, "version_minor": 0 }, @@ -933,7 +1010,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - 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@@ -2267,9 +2267,9 @@

Ethical Considerations

} } var slices_all = JSON.parse("{\"0\": [\"metric:Accuracy\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"1\": [\"metric:Precision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"2\": [\"metric:Recall\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"3\": [\"metric:F1 Score\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"4\": [\"metric:AUROC\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"5\": [\"metric:Accuracy\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"6\": [\"metric:Precision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"7\": [\"metric:Recall\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"8\": [\"metric:F1 Score\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"9\": [\"metric:AUROC\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"10\": [\"metric:Accuracy\", \"gender:M\", \"age:overall_age\"], \"11\": [\"metric:Precision\", \"gender:M\", \"age:overall_age\"], \"12\": [\"metric:Recall\", \"gender:M\", \"age:overall_age\"], \"13\": [\"metric:F1 Score\", \"gender:M\", \"age:overall_age\"], \"14\": [\"metric:AUROC\", \"gender:M\", \"age:overall_age\"], \"15\": [\"metric:Accuracy\", \"gender:F\", \"age:overall_age\"], \"16\": [\"metric:Precision\", \"gender:F\", \"age:overall_age\"], \"17\": [\"metric:Recall\", \"gender:F\", \"age:overall_age\"], \"18\": [\"metric:F1 Score\", \"gender:F\", \"age:overall_age\"], \"19\": [\"metric:AUROC\", \"gender:F\", \"age:overall_age\"], \"20\": [\"metric:Accuracy\", \"age:overall_age\", \"gender:overall_gender\"], \"21\": [\"metric:Precision\", \"age:overall_age\", \"gender:overall_gender\"], \"22\": [\"metric:Recall\", \"age:overall_age\", \"gender:overall_gender\"], \"23\": [\"metric:F1 Score\", \"age:overall_age\", \"gender:overall_gender\"], \"24\": [\"metric:AUROC\", \"age:overall_age\", \"gender:overall_gender\"]}"); - var histories_all = JSON.parse("{\"0\": [\"0.8256880640983582\", \"0.7543976568352665\", \"0.7666771018616247\", \"0.7691046389188866\", \"0.670138571764464\"], \"1\": [\"0.978723406791687\", \"1.0\", \"0.9769395849234056\", \"1.0\", \"0.9683264149159233\"], \"2\": [\"0.71875\", \"0.6407105047334619\", \"0.6951409493548815\", \"0.8165301786634211\", \"0.6773980410301985\"], \"3\": [\"0.8288288116455078\", \"0.805748646242792\", \"0.7676041671573455\", \"0.7163487559965106\", \"0.8428506121140757\"], \"4\": [\"0.9663195013999939\", \"0.9603635156209727\", \"1.0\", \"0.7857305780372414\", \"0.8296401037781879\"], \"5\": [\"0.8484848737716675\", \"0.8472861764022392\", \"0.8990648988053456\", \"0.8658386152519872\", \"0.9853652349363373\"], \"6\": [\"0.8571428656578064\", \"0.7647191744419407\", \"0.6746483697822924\", \"0.5835199761458835\", \"0.4532592402826912\"], \"7\": [\"0.8571428656578064\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"8\": [\"0.8571428656578064\", \"0.9982212536464927\", \"0.7636777704010487\", \"0.84597817276695\", \"0.7579519626982832\"], \"9\": [\"0.9502303600311279\", \"0.900634947486109\", \"1.0\", \"0.9643374071958637\", \"0.9218279347041417\"], \"10\": [\"0.8813559412956238\", \"0.8723008692489609\", \"0.9696915255896991\", \"0.9712759169061661\", \"0.9802932532458032\"], \"11\": [\"0.9852941036224365\", \"0.9588501087590394\", \"0.7939762537987242\", \"0.7377565092938788\", \"0.8505487323646809\"], \"12\": [\"0.8374999761581421\", \"0.7685154807798611\", \"0.7785213550165733\", \"0.7954410301175584\", \"0.5584871976762504\"], \"13\": [\"0.9054054021835327\", \"0.9046075771407002\", \"0.8550745045186701\", \"0.8330648740038088\", \"0.8945541817955109\"], \"14\": [\"0.9708881974220276\", \"0.824672021431033\", \"0.7925250905956842\", \"0.6998423672646656\", \"0.6806214480623043\"], \"15\": [\"0.8518518805503845\", \"0.7887309645562091\", \"0.9985685767209063\", \"0.9103285301864557\", \"0.8559606212916193\"], \"16\": [\"0.9016393423080444\", \"0.8837580178913744\", \"0.8418959626860326\", \"0.8194442402310869\", \"0.652729188850832\"], \"17\": [\"0.8461538553237915\", \"0.9083189316702561\", \"0.9926331351333553\", \"0.9907062983249361\", \"1.0\"], \"18\": [\"0.8730158805847168\", \"0.8123280064039912\", \"0.9668213789132227\", \"0.890606556271462\", \"1.0\"], \"19\": [\"0.9518783688545227\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"20\": [\"0.8672566413879395\", \"0.801676318343561\", \"0.5509699048501633\", \"0.5938969704216098\", \"0.7358416794352239\"], \"21\": [\"0.9457364082336426\", \"0.8221035611071954\", \"0.7946742952872069\", \"0.6798130808471454\", \"0.6863617896028339\"], \"22\": [\"0.8413792848587036\", \"0.8594899036719561\", \"0.9890896209704093\", \"0.8659450274312362\", \"0.8542883833614509\"], \"23\": [\"0.8905109763145447\", \"0.9361735413230635\", \"0.8154319173983198\", \"0.8865446860047441\", \"0.8852439835812868\"], \"24\": [\"0.9617283940315247\", \"0.9651800803631739\", \"0.8747286744834281\", \"0.7425820263278258\", \"1.0\"]}"); + var histories_all = JSON.parse("{\"0\": [\"0.8548387289047241\", \"0.7465932355856656\", \"0.7401868462189177\", \"0.6506955910878385\", \"0.7442421665866095\"], \"1\": [\"0.9841269850730896\", \"1.0\", \"0.8720647684708885\", \"0.9073995843995462\", \"0.9116681360327176\"], \"2\": [\"0.7848101258277893\", \"0.8568096514522593\", \"0.7709033776124469\", \"0.7921631854245627\", \"0.793345109702425\"], \"3\": [\"0.8732394576072693\", \"0.9264168797603186\", \"0.7632597284849639\", \"0.8532019982535489\", \"0.7803941020276819\"], \"4\": [\"0.9213783144950867\", \"0.9807738147478297\", \"0.9328203988877652\", \"0.99457613024749\", \"1.0\"], \"5\": [\"0.8888888955116272\", \"0.9291472986774775\", \"0.8746433839419097\", \"0.8760870773831202\", \"0.89135062824268\"], \"6\": [\"0.8518518805503845\", \"0.9140199892698144\", \"1.0\", \"1.0\", \"0.9508608408268746\"], \"7\": [\"0.9200000166893005\", \"0.8538922135069166\", \"0.8882336779471066\", \"0.8043656078090007\", \"0.8856121703195285\"], \"8\": [\"0.8846153616905212\", \"0.8800527742500365\", \"0.8759029457581669\", \"0.7717441051359379\", \"0.8775345660594567\"], \"9\": [\"0.957241415977478\", \"1.0\", \"0.9245771625787438\", \"0.9156607375016859\", \"1.0\"], \"10\": [\"0.8818897604942322\", \"1.0\", \"0.9263872033218358\", \"0.9952301948785746\", \"0.7966257605593625\"], \"11\": [\"0.9740259647369385\", \"0.9063194215028335\", \"0.9041571926721909\", \"0.8203713758932337\", \"0.8499718217100082\"], \"12\": [\"0.8522727489471436\", \"0.8154521626787901\", \"0.706743337103149\", \"0.7738530984385512\", \"0.7505267623425051\"], \"13\": [\"0.9090909361839294\", \"0.8146164464818006\", \"0.8873050795294183\", \"0.9526759661125673\", \"1.0\"], \"14\": [\"0.9510489702224731\", \"0.818218068199397\", \"0.7881365101676624\", \"0.6836760954030562\", \"0.5381263899885369\"], \"15\": [\"0.868686854839325\", \"0.7723888291084333\", \"0.8193533958607451\", \"0.7713065387335596\", \"0.8119301025915271\"], \"16\": [\"0.9399999976158142\", \"1.0\", \"0.9546649576296721\", \"0.9229095973111335\", \"0.9629050835840932\"], \"17\": [\"0.8245614171028137\", \"0.7888342349933981\", \"0.9224953983546548\", \"0.8923837625017276\", \"0.890378238599084\"], \"18\": [\"0.8785046935081482\", \"0.9140284052585073\", \"0.9242943736203055\", \"0.8859008956482453\", \"0.8252956408110802\"], \"19\": [\"0.9527986645698547\", \"0.9832787609998431\", \"1.0\", \"1.0\", \"0.9625610504648788\"], \"20\": [\"0.8761062026023865\", \"0.9019501023738369\", \"1.0\", \"0.9838386385762136\", \"0.9124719989814959\"], \"21\": [\"0.960629940032959\", \"1.0\", \"1.0\", \"0.9541416232868416\", \"1.0\"], \"22\": [\"0.8413792848587036\", \"0.8443073935878639\", \"0.8414960580118097\", \"1.0\", \"1.0\"], \"23\": [\"0.8970588445663452\", \"0.7513890473891505\", \"0.6780411529226551\", \"0.7345417377998739\", \"0.8643143643988106\"], \"24\": [\"0.9519795179367065\", \"0.8967265585255119\", \"1.0\", \"0.9269653133468487\", \"0.9074814366402508\"]}"); var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\"}"); - var passed_all = JSON.parse("{\"0\": false, \"1\": true, \"2\": false, \"3\": true, \"4\": true, \"5\": true, \"6\": false, \"7\": true, \"8\": true, \"9\": true, \"10\": true, \"11\": true, \"12\": false, \"13\": true, \"14\": false, \"15\": true, \"16\": false, \"17\": true, \"18\": true, \"19\": true, \"20\": true, \"21\": false, \"22\": true, \"23\": true, \"24\": true}"); + var passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": true, \"3\": true, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": true, \"9\": true, \"10\": true, \"11\": true, \"12\": true, \"13\": true, \"14\": false, \"15\": true, \"16\": true, \"17\": true, \"18\": true, \"19\": true, \"20\": true, \"21\": true, \"22\": true, \"23\": true, \"24\": true}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Precision\", \"2\": \"Recall\", \"3\": \"F1 Score\", \"4\": \"AUROC\", \"5\": \"Accuracy\", \"6\": \"Precision\", \"7\": \"Recall\", \"8\": \"F1 Score\", \"9\": \"AUROC\", \"10\": \"Accuracy\", \"11\": \"Precision\", \"12\": \"Recall\", \"13\": \"F1 Score\", \"14\": \"AUROC\", \"15\": \"Accuracy\", \"16\": \"Precision\", \"17\": \"Recall\", \"18\": \"F1 Score\", \"19\": \"AUROC\", \"20\": \"Accuracy\", \"21\": \"Precision\", \"22\": \"Recall\", \"23\": \"F1 Score\", \"24\": \"AUROC\"}"); var timestamps_all = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"16\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"17\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"18\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"19\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"20\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"21\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"22\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"23\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"24\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -2571,7 +2571,7 @@

Ethical Considerations

function generate_model_card_plot() { var model_card_plots = [] var overall_indices = [20, 21, 22, 23, 24] - var histories = JSON.parse("{\"0\": [\"0.8256880640983582\", \"0.7543976568352665\", \"0.7666771018616247\", \"0.7691046389188866\", \"0.670138571764464\"], \"1\": [\"0.978723406791687\", \"1.0\", \"0.9769395849234056\", \"1.0\", \"0.9683264149159233\"], \"2\": [\"0.71875\", \"0.6407105047334619\", \"0.6951409493548815\", \"0.8165301786634211\", \"0.6773980410301985\"], \"3\": [\"0.8288288116455078\", \"0.805748646242792\", \"0.7676041671573455\", \"0.7163487559965106\", \"0.8428506121140757\"], \"4\": [\"0.9663195013999939\", \"0.9603635156209727\", \"1.0\", \"0.7857305780372414\", \"0.8296401037781879\"], \"5\": [\"0.8484848737716675\", \"0.8472861764022392\", \"0.8990648988053456\", \"0.8658386152519872\", \"0.9853652349363373\"], \"6\": [\"0.8571428656578064\", \"0.7647191744419407\", \"0.6746483697822924\", \"0.5835199761458835\", \"0.4532592402826912\"], \"7\": [\"0.8571428656578064\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"8\": [\"0.8571428656578064\", \"0.9982212536464927\", \"0.7636777704010487\", \"0.84597817276695\", \"0.7579519626982832\"], \"9\": [\"0.9502303600311279\", \"0.900634947486109\", \"1.0\", \"0.9643374071958637\", \"0.9218279347041417\"], \"10\": [\"0.8813559412956238\", \"0.8723008692489609\", \"0.9696915255896991\", \"0.9712759169061661\", \"0.9802932532458032\"], \"11\": [\"0.9852941036224365\", \"0.9588501087590394\", \"0.7939762537987242\", \"0.7377565092938788\", \"0.8505487323646809\"], \"12\": [\"0.8374999761581421\", \"0.7685154807798611\", \"0.7785213550165733\", \"0.7954410301175584\", \"0.5584871976762504\"], \"13\": [\"0.9054054021835327\", \"0.9046075771407002\", \"0.8550745045186701\", \"0.8330648740038088\", \"0.8945541817955109\"], \"14\": [\"0.9708881974220276\", \"0.824672021431033\", \"0.7925250905956842\", \"0.6998423672646656\", \"0.6806214480623043\"], \"15\": [\"0.8518518805503845\", \"0.7887309645562091\", \"0.9985685767209063\", \"0.9103285301864557\", \"0.8559606212916193\"], \"16\": [\"0.9016393423080444\", \"0.8837580178913744\", \"0.8418959626860326\", \"0.8194442402310869\", \"0.652729188850832\"], \"17\": [\"0.8461538553237915\", \"0.9083189316702561\", \"0.9926331351333553\", \"0.9907062983249361\", \"1.0\"], \"18\": [\"0.8730158805847168\", \"0.8123280064039912\", \"0.9668213789132227\", \"0.890606556271462\", \"1.0\"], \"19\": [\"0.9518783688545227\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"20\": [\"0.8672566413879395\", \"0.801676318343561\", \"0.5509699048501633\", \"0.5938969704216098\", \"0.7358416794352239\"], \"21\": [\"0.9457364082336426\", \"0.8221035611071954\", \"0.7946742952872069\", \"0.6798130808471454\", \"0.6863617896028339\"], \"22\": [\"0.8413792848587036\", \"0.8594899036719561\", \"0.9890896209704093\", \"0.8659450274312362\", \"0.8542883833614509\"], \"23\": [\"0.8905109763145447\", \"0.9361735413230635\", \"0.8154319173983198\", \"0.8865446860047441\", \"0.8852439835812868\"], \"24\": [\"0.9617283940315247\", \"0.9651800803631739\", \"0.8747286744834281\", \"0.7425820263278258\", \"1.0\"]}"); + var histories = JSON.parse("{\"0\": [\"0.8548387289047241\", \"0.7465932355856656\", \"0.7401868462189177\", \"0.6506955910878385\", \"0.7442421665866095\"], \"1\": [\"0.9841269850730896\", \"1.0\", \"0.8720647684708885\", \"0.9073995843995462\", \"0.9116681360327176\"], \"2\": [\"0.7848101258277893\", \"0.8568096514522593\", \"0.7709033776124469\", \"0.7921631854245627\", \"0.793345109702425\"], \"3\": [\"0.8732394576072693\", \"0.9264168797603186\", \"0.7632597284849639\", \"0.8532019982535489\", \"0.7803941020276819\"], \"4\": [\"0.9213783144950867\", \"0.9807738147478297\", \"0.9328203988877652\", \"0.99457613024749\", \"1.0\"], \"5\": [\"0.8888888955116272\", \"0.9291472986774775\", \"0.8746433839419097\", \"0.8760870773831202\", \"0.89135062824268\"], \"6\": [\"0.8518518805503845\", \"0.9140199892698144\", \"1.0\", \"1.0\", \"0.9508608408268746\"], \"7\": [\"0.9200000166893005\", \"0.8538922135069166\", \"0.8882336779471066\", \"0.8043656078090007\", \"0.8856121703195285\"], \"8\": [\"0.8846153616905212\", \"0.8800527742500365\", \"0.8759029457581669\", \"0.7717441051359379\", \"0.8775345660594567\"], \"9\": [\"0.957241415977478\", \"1.0\", \"0.9245771625787438\", \"0.9156607375016859\", \"1.0\"], \"10\": [\"0.8818897604942322\", \"1.0\", \"0.9263872033218358\", \"0.9952301948785746\", \"0.7966257605593625\"], \"11\": [\"0.9740259647369385\", \"0.9063194215028335\", \"0.9041571926721909\", \"0.8203713758932337\", \"0.8499718217100082\"], \"12\": [\"0.8522727489471436\", \"0.8154521626787901\", \"0.706743337103149\", \"0.7738530984385512\", \"0.7505267623425051\"], \"13\": [\"0.9090909361839294\", \"0.8146164464818006\", \"0.8873050795294183\", \"0.9526759661125673\", \"1.0\"], \"14\": [\"0.9510489702224731\", \"0.818218068199397\", \"0.7881365101676624\", \"0.6836760954030562\", \"0.5381263899885369\"], \"15\": [\"0.868686854839325\", \"0.7723888291084333\", \"0.8193533958607451\", \"0.7713065387335596\", \"0.8119301025915271\"], \"16\": [\"0.9399999976158142\", \"1.0\", \"0.9546649576296721\", \"0.9229095973111335\", \"0.9629050835840932\"], \"17\": [\"0.8245614171028137\", \"0.7888342349933981\", \"0.9224953983546548\", \"0.8923837625017276\", \"0.890378238599084\"], \"18\": [\"0.8785046935081482\", \"0.9140284052585073\", \"0.9242943736203055\", \"0.8859008956482453\", \"0.8252956408110802\"], \"19\": [\"0.9527986645698547\", \"0.9832787609998431\", \"1.0\", \"1.0\", \"0.9625610504648788\"], \"20\": [\"0.8761062026023865\", \"0.9019501023738369\", \"1.0\", \"0.9838386385762136\", \"0.9124719989814959\"], \"21\": [\"0.960629940032959\", \"1.0\", \"1.0\", \"0.9541416232868416\", \"1.0\"], \"22\": [\"0.8413792848587036\", \"0.8443073935878639\", \"0.8414960580118097\", \"1.0\", \"1.0\"], \"23\": [\"0.8970588445663452\", \"0.7513890473891505\", \"0.6780411529226551\", \"0.7345417377998739\", \"0.8643143643988106\"], \"24\": [\"0.9519795179367065\", \"0.8967265585255119\", \"1.0\", \"0.9269653133468487\", \"0.9074814366402508\"]}"); var thresholds = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\"}"); var timestamps = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"16\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"17\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"18\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"19\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"20\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"21\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"22\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"23\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"24\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -2871,9 +2871,9 @@

Ethical Considerations

} } var slices_all = JSON.parse("{\"0\": [\"metric:Accuracy\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"1\": [\"metric:Precision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"2\": [\"metric:Recall\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"3\": [\"metric:F1 Score\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"4\": [\"metric:AUROC\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"5\": [\"metric:Accuracy\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"6\": [\"metric:Precision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"7\": [\"metric:Recall\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"8\": [\"metric:F1 Score\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"9\": [\"metric:AUROC\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"10\": [\"metric:Accuracy\", \"gender:M\", \"age:overall_age\"], \"11\": [\"metric:Precision\", \"gender:M\", \"age:overall_age\"], \"12\": [\"metric:Recall\", \"gender:M\", \"age:overall_age\"], \"13\": [\"metric:F1 Score\", \"gender:M\", \"age:overall_age\"], \"14\": [\"metric:AUROC\", \"gender:M\", \"age:overall_age\"], \"15\": [\"metric:Accuracy\", \"gender:F\", \"age:overall_age\"], \"16\": [\"metric:Precision\", \"gender:F\", \"age:overall_age\"], \"17\": [\"metric:Recall\", \"gender:F\", \"age:overall_age\"], \"18\": [\"metric:F1 Score\", \"gender:F\", \"age:overall_age\"], \"19\": [\"metric:AUROC\", \"gender:F\", \"age:overall_age\"], \"20\": [\"metric:Accuracy\", \"age:overall_age\", \"gender:overall_gender\"], \"21\": [\"metric:Precision\", \"age:overall_age\", \"gender:overall_gender\"], \"22\": [\"metric:Recall\", \"age:overall_age\", \"gender:overall_gender\"], \"23\": [\"metric:F1 Score\", \"age:overall_age\", \"gender:overall_gender\"], \"24\": [\"metric:AUROC\", \"age:overall_age\", \"gender:overall_gender\"]}"); - var histories_all = JSON.parse("{\"0\": [\"0.8256880640983582\", \"0.7543976568352665\", \"0.7666771018616247\", \"0.7691046389188866\", \"0.670138571764464\"], \"1\": [\"0.978723406791687\", \"1.0\", \"0.9769395849234056\", \"1.0\", \"0.9683264149159233\"], \"2\": [\"0.71875\", \"0.6407105047334619\", \"0.6951409493548815\", \"0.8165301786634211\", \"0.6773980410301985\"], \"3\": [\"0.8288288116455078\", \"0.805748646242792\", \"0.7676041671573455\", \"0.7163487559965106\", \"0.8428506121140757\"], \"4\": [\"0.9663195013999939\", \"0.9603635156209727\", \"1.0\", \"0.7857305780372414\", \"0.8296401037781879\"], \"5\": [\"0.8484848737716675\", \"0.8472861764022392\", \"0.8990648988053456\", \"0.8658386152519872\", \"0.9853652349363373\"], \"6\": [\"0.8571428656578064\", \"0.7647191744419407\", \"0.6746483697822924\", \"0.5835199761458835\", \"0.4532592402826912\"], \"7\": [\"0.8571428656578064\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"8\": [\"0.8571428656578064\", \"0.9982212536464927\", \"0.7636777704010487\", \"0.84597817276695\", \"0.7579519626982832\"], \"9\": [\"0.9502303600311279\", \"0.900634947486109\", \"1.0\", \"0.9643374071958637\", \"0.9218279347041417\"], \"10\": [\"0.8813559412956238\", \"0.8723008692489609\", \"0.9696915255896991\", \"0.9712759169061661\", \"0.9802932532458032\"], \"11\": [\"0.9852941036224365\", \"0.9588501087590394\", \"0.7939762537987242\", \"0.7377565092938788\", \"0.8505487323646809\"], \"12\": [\"0.8374999761581421\", \"0.7685154807798611\", \"0.7785213550165733\", \"0.7954410301175584\", \"0.5584871976762504\"], \"13\": [\"0.9054054021835327\", \"0.9046075771407002\", \"0.8550745045186701\", \"0.8330648740038088\", \"0.8945541817955109\"], \"14\": [\"0.9708881974220276\", \"0.824672021431033\", \"0.7925250905956842\", \"0.6998423672646656\", \"0.6806214480623043\"], \"15\": [\"0.8518518805503845\", \"0.7887309645562091\", \"0.9985685767209063\", \"0.9103285301864557\", \"0.8559606212916193\"], \"16\": [\"0.9016393423080444\", \"0.8837580178913744\", \"0.8418959626860326\", \"0.8194442402310869\", \"0.652729188850832\"], \"17\": [\"0.8461538553237915\", \"0.9083189316702561\", \"0.9926331351333553\", \"0.9907062983249361\", \"1.0\"], \"18\": [\"0.8730158805847168\", \"0.8123280064039912\", \"0.9668213789132227\", \"0.890606556271462\", \"1.0\"], \"19\": [\"0.9518783688545227\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"20\": [\"0.8672566413879395\", \"0.801676318343561\", \"0.5509699048501633\", \"0.5938969704216098\", \"0.7358416794352239\"], \"21\": [\"0.9457364082336426\", \"0.8221035611071954\", \"0.7946742952872069\", \"0.6798130808471454\", \"0.6863617896028339\"], \"22\": [\"0.8413792848587036\", \"0.8594899036719561\", \"0.9890896209704093\", \"0.8659450274312362\", \"0.8542883833614509\"], \"23\": [\"0.8905109763145447\", \"0.9361735413230635\", \"0.8154319173983198\", \"0.8865446860047441\", \"0.8852439835812868\"], \"24\": [\"0.9617283940315247\", \"0.9651800803631739\", \"0.8747286744834281\", \"0.7425820263278258\", \"1.0\"]}"); + var histories_all = JSON.parse("{\"0\": [\"0.8548387289047241\", \"0.7465932355856656\", \"0.7401868462189177\", \"0.6506955910878385\", \"0.7442421665866095\"], \"1\": [\"0.9841269850730896\", \"1.0\", \"0.8720647684708885\", \"0.9073995843995462\", \"0.9116681360327176\"], \"2\": [\"0.7848101258277893\", \"0.8568096514522593\", \"0.7709033776124469\", \"0.7921631854245627\", \"0.793345109702425\"], \"3\": [\"0.8732394576072693\", \"0.9264168797603186\", \"0.7632597284849639\", \"0.8532019982535489\", \"0.7803941020276819\"], \"4\": [\"0.9213783144950867\", \"0.9807738147478297\", \"0.9328203988877652\", \"0.99457613024749\", \"1.0\"], \"5\": [\"0.8888888955116272\", \"0.9291472986774775\", \"0.8746433839419097\", \"0.8760870773831202\", \"0.89135062824268\"], \"6\": [\"0.8518518805503845\", \"0.9140199892698144\", \"1.0\", \"1.0\", \"0.9508608408268746\"], \"7\": [\"0.9200000166893005\", \"0.8538922135069166\", \"0.8882336779471066\", \"0.8043656078090007\", \"0.8856121703195285\"], \"8\": [\"0.8846153616905212\", \"0.8800527742500365\", \"0.8759029457581669\", \"0.7717441051359379\", \"0.8775345660594567\"], \"9\": [\"0.957241415977478\", \"1.0\", \"0.9245771625787438\", \"0.9156607375016859\", \"1.0\"], \"10\": [\"0.8818897604942322\", \"1.0\", \"0.9263872033218358\", \"0.9952301948785746\", \"0.7966257605593625\"], \"11\": [\"0.9740259647369385\", \"0.9063194215028335\", \"0.9041571926721909\", \"0.8203713758932337\", \"0.8499718217100082\"], \"12\": [\"0.8522727489471436\", \"0.8154521626787901\", \"0.706743337103149\", \"0.7738530984385512\", \"0.7505267623425051\"], \"13\": [\"0.9090909361839294\", \"0.8146164464818006\", \"0.8873050795294183\", \"0.9526759661125673\", \"1.0\"], \"14\": [\"0.9510489702224731\", \"0.818218068199397\", \"0.7881365101676624\", \"0.6836760954030562\", \"0.5381263899885369\"], \"15\": [\"0.868686854839325\", \"0.7723888291084333\", \"0.8193533958607451\", \"0.7713065387335596\", \"0.8119301025915271\"], \"16\": [\"0.9399999976158142\", \"1.0\", \"0.9546649576296721\", \"0.9229095973111335\", \"0.9629050835840932\"], \"17\": [\"0.8245614171028137\", \"0.7888342349933981\", \"0.9224953983546548\", \"0.8923837625017276\", \"0.890378238599084\"], \"18\": [\"0.8785046935081482\", \"0.9140284052585073\", \"0.9242943736203055\", \"0.8859008956482453\", \"0.8252956408110802\"], \"19\": [\"0.9527986645698547\", \"0.9832787609998431\", \"1.0\", \"1.0\", \"0.9625610504648788\"], \"20\": [\"0.8761062026023865\", \"0.9019501023738369\", \"1.0\", \"0.9838386385762136\", \"0.9124719989814959\"], \"21\": [\"0.960629940032959\", \"1.0\", \"1.0\", \"0.9541416232868416\", \"1.0\"], \"22\": [\"0.8413792848587036\", \"0.8443073935878639\", \"0.8414960580118097\", \"1.0\", \"1.0\"], \"23\": [\"0.8970588445663452\", \"0.7513890473891505\", \"0.6780411529226551\", \"0.7345417377998739\", \"0.8643143643988106\"], \"24\": [\"0.9519795179367065\", \"0.8967265585255119\", \"1.0\", \"0.9269653133468487\", \"0.9074814366402508\"]}"); var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\"}"); - var passed_all = JSON.parse("{\"0\": false, \"1\": true, \"2\": false, \"3\": true, \"4\": true, \"5\": true, \"6\": false, \"7\": true, \"8\": true, \"9\": true, \"10\": true, \"11\": true, \"12\": false, \"13\": true, \"14\": false, \"15\": true, \"16\": false, \"17\": true, \"18\": true, \"19\": true, \"20\": true, \"21\": false, \"22\": true, \"23\": true, \"24\": true}"); + var passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": true, \"3\": true, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": true, \"9\": true, \"10\": true, \"11\": true, \"12\": true, \"13\": true, \"14\": false, \"15\": true, \"16\": true, \"17\": true, \"18\": true, \"19\": true, \"20\": true, \"21\": true, \"22\": true, \"23\": true, \"24\": true}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Precision\", \"2\": \"Recall\", \"3\": \"F1 Score\", \"4\": \"AUROC\", \"5\": \"Accuracy\", \"6\": \"Precision\", \"7\": \"Recall\", \"8\": \"F1 Score\", \"9\": \"AUROC\", \"10\": \"Accuracy\", \"11\": \"Precision\", \"12\": \"Recall\", \"13\": \"F1 Score\", \"14\": \"AUROC\", \"15\": \"Accuracy\", \"16\": \"Precision\", \"17\": \"Recall\", \"18\": \"F1 Score\", \"19\": \"AUROC\", \"20\": \"Accuracy\", \"21\": \"Precision\", \"22\": \"Recall\", \"23\": \"F1 Score\", \"24\": \"AUROC\"}"); var timestamps_all = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"16\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"17\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"18\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"19\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"20\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"21\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"22\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"23\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"24\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -3386,7 +3386,7 @@

Ethical Considerations

]; // create global variable for max_n_evals - var histories = JSON.parse("{\"0\": [\"0.8256880640983582\", \"0.7543976568352665\", \"0.7666771018616247\", \"0.7691046389188866\", \"0.670138571764464\"], \"1\": [\"0.978723406791687\", \"1.0\", \"0.9769395849234056\", \"1.0\", \"0.9683264149159233\"], \"2\": [\"0.71875\", \"0.6407105047334619\", \"0.6951409493548815\", \"0.8165301786634211\", \"0.6773980410301985\"], \"3\": [\"0.8288288116455078\", \"0.805748646242792\", \"0.7676041671573455\", \"0.7163487559965106\", \"0.8428506121140757\"], \"4\": [\"0.9663195013999939\", \"0.9603635156209727\", \"1.0\", \"0.7857305780372414\", \"0.8296401037781879\"], \"5\": [\"0.8484848737716675\", \"0.8472861764022392\", \"0.8990648988053456\", \"0.8658386152519872\", \"0.9853652349363373\"], \"6\": [\"0.8571428656578064\", \"0.7647191744419407\", \"0.6746483697822924\", \"0.5835199761458835\", \"0.4532592402826912\"], \"7\": [\"0.8571428656578064\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"8\": [\"0.8571428656578064\", \"0.9982212536464927\", \"0.7636777704010487\", \"0.84597817276695\", \"0.7579519626982832\"], \"9\": [\"0.9502303600311279\", \"0.900634947486109\", \"1.0\", \"0.9643374071958637\", \"0.9218279347041417\"], \"10\": [\"0.8813559412956238\", \"0.8723008692489609\", \"0.9696915255896991\", \"0.9712759169061661\", \"0.9802932532458032\"], \"11\": [\"0.9852941036224365\", \"0.9588501087590394\", \"0.7939762537987242\", \"0.7377565092938788\", \"0.8505487323646809\"], \"12\": [\"0.8374999761581421\", \"0.7685154807798611\", \"0.7785213550165733\", \"0.7954410301175584\", \"0.5584871976762504\"], \"13\": [\"0.9054054021835327\", \"0.9046075771407002\", \"0.8550745045186701\", \"0.8330648740038088\", \"0.8945541817955109\"], \"14\": [\"0.9708881974220276\", \"0.824672021431033\", \"0.7925250905956842\", \"0.6998423672646656\", \"0.6806214480623043\"], \"15\": [\"0.8518518805503845\", \"0.7887309645562091\", \"0.9985685767209063\", \"0.9103285301864557\", \"0.8559606212916193\"], \"16\": [\"0.9016393423080444\", \"0.8837580178913744\", \"0.8418959626860326\", \"0.8194442402310869\", \"0.652729188850832\"], \"17\": [\"0.8461538553237915\", \"0.9083189316702561\", \"0.9926331351333553\", \"0.9907062983249361\", \"1.0\"], \"18\": [\"0.8730158805847168\", \"0.8123280064039912\", \"0.9668213789132227\", \"0.890606556271462\", \"1.0\"], \"19\": [\"0.9518783688545227\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"20\": [\"0.8672566413879395\", \"0.801676318343561\", \"0.5509699048501633\", \"0.5938969704216098\", \"0.7358416794352239\"], \"21\": [\"0.9457364082336426\", \"0.8221035611071954\", \"0.7946742952872069\", \"0.6798130808471454\", \"0.6863617896028339\"], \"22\": [\"0.8413792848587036\", \"0.8594899036719561\", \"0.9890896209704093\", \"0.8659450274312362\", \"0.8542883833614509\"], \"23\": [\"0.8905109763145447\", \"0.9361735413230635\", \"0.8154319173983198\", \"0.8865446860047441\", \"0.8852439835812868\"], \"24\": [\"0.9617283940315247\", \"0.9651800803631739\", \"0.8747286744834281\", \"0.7425820263278258\", \"1.0\"]}"); + var histories = JSON.parse("{\"0\": [\"0.8548387289047241\", \"0.7465932355856656\", \"0.7401868462189177\", \"0.6506955910878385\", \"0.7442421665866095\"], \"1\": [\"0.9841269850730896\", \"1.0\", \"0.8720647684708885\", \"0.9073995843995462\", \"0.9116681360327176\"], \"2\": [\"0.7848101258277893\", \"0.8568096514522593\", \"0.7709033776124469\", \"0.7921631854245627\", \"0.793345109702425\"], \"3\": [\"0.8732394576072693\", \"0.9264168797603186\", \"0.7632597284849639\", \"0.8532019982535489\", \"0.7803941020276819\"], \"4\": [\"0.9213783144950867\", \"0.9807738147478297\", \"0.9328203988877652\", \"0.99457613024749\", \"1.0\"], \"5\": [\"0.8888888955116272\", \"0.9291472986774775\", \"0.8746433839419097\", \"0.8760870773831202\", \"0.89135062824268\"], \"6\": [\"0.8518518805503845\", \"0.9140199892698144\", \"1.0\", \"1.0\", \"0.9508608408268746\"], \"7\": [\"0.9200000166893005\", \"0.8538922135069166\", \"0.8882336779471066\", \"0.8043656078090007\", \"0.8856121703195285\"], \"8\": [\"0.8846153616905212\", \"0.8800527742500365\", \"0.8759029457581669\", \"0.7717441051359379\", \"0.8775345660594567\"], \"9\": [\"0.957241415977478\", \"1.0\", \"0.9245771625787438\", \"0.9156607375016859\", \"1.0\"], \"10\": [\"0.8818897604942322\", \"1.0\", \"0.9263872033218358\", \"0.9952301948785746\", \"0.7966257605593625\"], \"11\": [\"0.9740259647369385\", \"0.9063194215028335\", \"0.9041571926721909\", \"0.8203713758932337\", \"0.8499718217100082\"], \"12\": [\"0.8522727489471436\", \"0.8154521626787901\", \"0.706743337103149\", \"0.7738530984385512\", \"0.7505267623425051\"], \"13\": [\"0.9090909361839294\", \"0.8146164464818006\", \"0.8873050795294183\", \"0.9526759661125673\", \"1.0\"], \"14\": [\"0.9510489702224731\", \"0.818218068199397\", \"0.7881365101676624\", \"0.6836760954030562\", \"0.5381263899885369\"], \"15\": [\"0.868686854839325\", \"0.7723888291084333\", \"0.8193533958607451\", \"0.7713065387335596\", \"0.8119301025915271\"], \"16\": [\"0.9399999976158142\", \"1.0\", \"0.9546649576296721\", \"0.9229095973111335\", \"0.9629050835840932\"], \"17\": [\"0.8245614171028137\", \"0.7888342349933981\", \"0.9224953983546548\", \"0.8923837625017276\", \"0.890378238599084\"], \"18\": [\"0.8785046935081482\", \"0.9140284052585073\", \"0.9242943736203055\", \"0.8859008956482453\", \"0.8252956408110802\"], \"19\": [\"0.9527986645698547\", \"0.9832787609998431\", \"1.0\", \"1.0\", \"0.9625610504648788\"], \"20\": [\"0.8761062026023865\", \"0.9019501023738369\", \"1.0\", \"0.9838386385762136\", \"0.9124719989814959\"], \"21\": [\"0.960629940032959\", \"1.0\", \"1.0\", \"0.9541416232868416\", \"1.0\"], \"22\": [\"0.8413792848587036\", \"0.8443073935878639\", \"0.8414960580118097\", \"1.0\", \"1.0\"], \"23\": [\"0.8970588445663452\", \"0.7513890473891505\", \"0.6780411529226551\", \"0.7345417377998739\", \"0.8643143643988106\"], \"24\": [\"0.9519795179367065\", \"0.8967265585255119\", \"1.0\", \"0.9269653133468487\", \"0.9074814366402508\"]}"); // get max_n_evals from histories var history_data = []; for (let i = 0; i < histories[0].length; i++) { diff --git a/api/tutorials/synthea/los_prediction.html b/api/tutorials/synthea/los_prediction.html index facda711b..d39d3b70a 100644 --- a/api/tutorials/synthea/los_prediction.html +++ b/api/tutorials/synthea/los_prediction.html @@ -566,7 +566,7 @@

Compute length of stay (labels) 
-2024-06-18 19:14:24,489 INFO cycquery.orm    - Database setup, ready to run queries!
+2024-06-19 09:00:47,850 INFO cycquery.orm    - Database setup, ready to run queries!

@@ -574,7 +574,7 @@

Compute length of stay (labels) 
-2024-06-18 19:15:13,922 INFO cycquery.orm    - Query returned successfully!
+2024-06-19 09:00:59,103 INFO cycquery.orm    - Query returned successfully!

@@ -582,7 +582,7 @@

Compute length of stay (labels) 
-2024-06-18 19:15:13,924 INFO cycquery.utils.profile - Finished executing function run_query in 48.323767 s
+2024-06-19 09:00:59,105 INFO cycquery.utils.profile - Finished executing function run_query in 10.106254 s

@@ -590,7 +590,7 @@

Compute length of stay (labels) 
-2024-06-18 19:15:19,009 INFO cycquery.orm    - Query returned successfully!
+2024-06-19 09:01:04,145 INFO cycquery.orm    - Query returned successfully!

@@ -598,7 +598,7 @@

Compute length of stay (labels) 
-2024-06-18 19:15:19,011 INFO cycquery.utils.profile - Finished executing function run_query in 5.084641 s
+2024-06-19 09:01:04,146 INFO cycquery.utils.profile - Finished executing function run_query in 5.038635 s

@@ -606,7 +606,7 @@

Compute length of stay (labels) 
-2024-06-18 19:15:29,849 INFO cycquery.orm    - Query returned successfully!
+2024-06-19 09:01:08,643 INFO cycquery.orm    - Query returned successfully!

@@ -614,7 +614,7 @@

Compute length of stay (labels) 
-2024-06-18 19:15:29,851 INFO cycquery.utils.profile - Finished executing function run_query in 7.006746 s
+2024-06-19 09:01:08,645 INFO cycquery.utils.profile - Finished executing function run_query in 0.544028 s

@@ -622,7 +622,7 @@

Compute length of stay (labels) 
-2024-06-18 19:15:33,944 INFO cycquery.orm    - Query returned successfully!
+2024-06-19 09:01:09,498 INFO cycquery.orm    - Query returned successfully!

@@ -630,7 +630,7 @@

Compute length of stay (labels) 
-2024-06-18 19:15:33,947 INFO cycquery.utils.profile - Finished executing function run_query in 4.090363 s
+2024-06-19 09:01:09,500 INFO cycquery.utils.profile - Finished executing function run_query in 0.848834 s

@@ -638,7 +638,7 @@

Compute length of stay (labels) 
-2024-06-18 19:15:34,131 INFO cycquery.orm    - Query returned successfully!
+2024-06-19 09:01:09,686 INFO cycquery.orm    - Query returned successfully!

@@ -646,7 +646,7 @@

Compute length of stay (labels) 
-2024-06-18 19:15:34,133 INFO cycquery.utils.profile - Finished executing function run_query in 0.184945 s
+2024-06-19 09:01:09,688 INFO cycquery.utils.profile - Finished executing function run_query in 0.186410 s

@@ -699,9 +699,9 @@

Drop NaNs based on the
-
+
@@ -1263,7 +1263,7 @@

Training 
-2024-06-18 19:29:23,651 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
+2024-06-19 09:02:51,910 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
@@ -1271,7 +1271,7 @@

Training 

-2024-06-18 19:29:23,775 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 250
+2024-06-19 09:02:51,911 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 100
@@ -1279,7 +1279,7 @@

Training 

-2024-06-18 19:29:23,785 INFO cyclops.models.wrappers.sk_model - Best max_depth: 2
+2024-06-19 09:02:51,913 INFO cyclops.models.wrappers.sk_model - Best max_depth: 2
@@ -1287,7 +1287,7 @@

Training 

-2024-06-18 19:29:23,786 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
+2024-06-19 09:02:51,914 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
@@ -1295,7 +1295,7 @@

Training 

-2024-06-18 19:29:23,787 INFO cyclops.models.wrappers.sk_model - Best gamma: 1
+2024-06-19 09:02:51,915 INFO cyclops.models.wrappers.sk_model - Best gamma: 2
@@ -1303,7 +1303,7 @@

Training 

-2024-06-18 19:29:23,788 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 1
+2024-06-19 09:02:51,916 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 0.7
@@ -1716,26 +1716,26 @@

Training background-color: var(--sklearn-color-fitted-level-3); } 
XGBClassifier(base_score=None, booster=None, callbacks=None,
-              colsample_bylevel=None, colsample_bynode=None, colsample_bytree=1,
-              early_stopping_rounds=None, enable_categorical=False,
-              eval_metric='logloss', feature_types=None, gamma=1, gpu_id=None,
-              grow_policy=None, importance_type=None,
-              interaction_constraints=None, learning_rate=0.1, max_bin=None,
-              max_cat_threshold=None, max_cat_to_onehot=None,
-              max_delta_step=None, max_depth=2, max_leaves=None,
-              min_child_weight=3, missing=nan, monotone_constraints=None,
-              n_estimators=250, n_jobs=None, num_parallel_tree=None,
-              predictor=None, random_state=123, ...)
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+ colsample_bylevel=None, colsample_bynode=None, + colsample_bytree=0.7, early_stopping_rounds=None, + enable_categorical=False, eval_metric='logloss', + feature_types=None, gamma=2, gpu_id=None, grow_policy=None, + importance_type=None, interaction_constraints=None, + learning_rate=0.1, max_bin=None, max_cat_threshold=None, + max_cat_to_onehot=None, max_delta_step=None, max_depth=2, + max_leaves=None, min_child_weight=3, missing=nan, + monotone_constraints=None, n_estimators=100, n_jobs=None, + num_parallel_tree=None, predictor=None, random_state=123, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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[27]:
@@ -1751,7 +1751,7 @@ 
Training
 
-{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 1, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 2, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 250, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}
+{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 0.7, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 2, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 2, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 100, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}

Log the model parameters to the report.

@@ -1787,7 +1787,7 @@

Prediction

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Evaluation

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Log the performance metrics to the report.

We can add a performance metric to the model card using the log_performance_metric method, which expects a dictionary where the keys are in the following format: slice_name/metric_name. For instance, overall/accuracy.

@@ -2101,9 +2101,9 @@

Evaluation
-

diff --git a/api/tutorials/synthea/los_prediction.ipynb b/api/tutorials/synthea/los_prediction.ipynb index 792039d0b..ca5828c48 100644 --- a/api/tutorials/synthea/los_prediction.ipynb +++ b/api/tutorials/synthea/los_prediction.ipynb @@ -33,10 +33,10 @@ "id": "53009e6b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T23:14:08.071534Z", - "iopub.status.busy": "2024-06-18T23:14:08.070449Z", - "iopub.status.idle": "2024-06-18T23:14:22.228248Z", - "shell.execute_reply": "2024-06-18T23:14:22.226053Z" + "iopub.execute_input": "2024-06-19T13:00:02.332180Z", + "iopub.status.busy": "2024-06-19T13:00:02.330967Z", + "iopub.status.idle": "2024-06-19T13:00:45.696562Z", + "shell.execute_reply": "2024-06-19T13:00:45.694378Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "afae58a8-5708-4e05-8695-25ba3ce1a71f", "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T23:14:22.237065Z", - "iopub.status.busy": "2024-06-18T23:14:22.235637Z", - "iopub.status.idle": "2024-06-18T23:14:22.244213Z", - "shell.execute_reply": "2024-06-18T23:14:22.242451Z" + "iopub.execute_input": "2024-06-19T13:00:45.705523Z", + "iopub.status.busy": "2024-06-19T13:00:45.703878Z", + "iopub.status.idle": "2024-06-19T13:00:45.712627Z", + "shell.execute_reply": "2024-06-19T13:00:45.710857Z" }, "tags": [] }, @@ -123,10 +123,10 @@ "id": "739b109a-011b-4e6e-a3de-964edeffddbd", "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T23:14:22.251465Z", - "iopub.status.busy": "2024-06-18T23:14:22.250085Z", - "iopub.status.idle": "2024-06-18T23:14:22.258053Z", - "shell.execute_reply": "2024-06-18T23:14:22.256317Z" + "iopub.execute_input": "2024-06-19T13:00:45.719439Z", + "iopub.status.busy": "2024-06-19T13:00:45.718577Z", + "iopub.status.idle": "2024-06-19T13:00:45.726522Z", + "shell.execute_reply": "2024-06-19T13:00:45.724778Z" }, "tags": [] }, @@ -157,10 +157,10 @@ "id": "e497df9f-0f3d-4e9c-845c-539627a37f67", "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T23:14:22.264881Z", - "iopub.status.busy": "2024-06-18T23:14:22.264288Z", - "iopub.status.idle": "2024-06-18T23:15:34.212586Z", - "shell.execute_reply": "2024-06-18T23:15:34.210692Z" + "iopub.execute_input": "2024-06-19T13:00:45.733893Z", + "iopub.status.busy": "2024-06-19T13:00:45.732669Z", + "iopub.status.idle": "2024-06-19T13:01:09.804309Z", + "shell.execute_reply": "2024-06-19T13:01:09.802327Z" }, "tags": [] }, @@ -169,77 +169,77 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 19:14:24,489 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" + "2024-06-19 09:00:47,850 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 19:15:13,922 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-19 09:00:59,103 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 19:15:13,924 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 48.323767 s\n" + "2024-06-19 09:00:59,105 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 10.106254 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 19:15:19,009 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-19 09:01:04,145 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 19:15:19,011 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 5.084641 s\n" + "2024-06-19 09:01:04,146 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 5.038635 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 19:15:29,849 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-19 09:01:08,643 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 19:15:29,851 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 7.006746 s\n" + "2024-06-19 09:01:08,645 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 0.544028 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 19:15:33,944 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-19 09:01:09,498 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 19:15:33,947 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 4.090363 s\n" + "2024-06-19 09:01:09,500 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 0.848834 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 19:15:34,131 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-19 09:01:09,686 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-18 19:15:34,133 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 0.184945 s\n" + "2024-06-19 09:01:09,688 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 0.186410 s\n" ] } ], @@ -398,10 +398,10 @@ "id": "c576ee51-e825-4970-86e8-3e5f221f145c", "metadata": { "execution": { - "iopub.execute_input": "2024-06-18T23:15:34.220360Z", - "iopub.status.busy": "2024-06-18T23:15:34.219242Z", - "iopub.status.idle": "2024-06-18T23:15:34.426488Z", - "shell.execute_reply": "2024-06-18T23:15:34.424774Z" + "iopub.execute_input": "2024-06-19T13:01:09.812852Z", + "iopub.status.busy": "2024-06-19T13:01:09.811456Z", + "iopub.status.idle": "2024-06-19T13:01:10.020418Z", + "shell.execute_reply": "2024-06-19T13:01:10.018613Z" }, "tags": [] }, @@ -1497,9 +1497,9 @@ } }, "text/html": [ - "