diff --git a/docs/source/tutorials/kaggle/heart_failure_prediction.ipynb b/docs/source/tutorials/kaggle/heart_failure_prediction.ipynb
index 40aad9a51..1a35c1186 100644
--- a/docs/source/tutorials/kaggle/heart_failure_prediction.ipynb
+++ b/docs/source/tutorials/kaggle/heart_failure_prediction.ipynb
@@ -49,7 +49,7 @@
     "from cyclops.report import ModelCardReport\n",
     "from cyclops.report.plot.classification import ClassificationPlotter\n",
     "from cyclops.report.utils import flatten_results_dict\n",
-    "from cyclops.tasks.mortality_prediction import MortalityPredictionTask\n",
+    "from cyclops.tasks import BinaryTabularClassificationTask\n",
     "from cyclops.utils.file import join, load_dataframe"
    ]
   },
@@ -57,17 +57,19 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "CyclOps offers a package for documentation of the model through a model card. The `ModelCardReport` class is used to populate and generate the model card as an HTML file. The model card has the following sections:\n",
+    "CyclOps offers a package for documentation of the model through a model report. The `ModelCardReport` class is used to populate and generate the model report as an HTML file. The model report has the following sections:\n",
+    "\n",
+    "- Overview: Provides a high level overview of how the model is doing (a quick glance of important metrics), and how it is doing over time (performance over several metrics and subgroups over time).\n",
+    "- Datasets: High level statistics of the training data, including changes in distribution over time.\n",
+    "- Quantitative Analysis: This section contains additional detailed performance metrics of the model for different sets of the data and subpopulations.\n",
+    "- Fairness Analysis: This section contains the fairness metrics of the model.\n",
     "- Model Details: This section contains descriptive metadata about the model such as the owners, version, license, etc.\n",
     "- Model Parameters: This section contains the technical details of the model such as the model architecture, training parameters, etc.\n",
     "- Considerations: This section contains descriptions of the considerations involved in developing and using the model such as the intended use, limitations, etc.\n",
-    "- Quantitative Analysis: This section contains the performance metrics of the model for different sets of the data and subpopulations.\n",
-    "- Explainaibility Analysis: This section contains the explainability metrics of the model.\n",
-    "- Fairness Analysis: This section contains the fairness metrics of the model.\n",
     "\n",
-    "We will use this to document the model development process as we go along and generate the model card at the end.\n",
+    "We will use this to document the model development process as we go along and generate the model report at the end.\n",
     "\n",
-    "`The model card tool is a work in progress and is subject to change.`"
+    "`The model report tool is a work in progress and is subject to change.`"
    ]
   },
   {
@@ -579,7 +581,7 @@
    },
    "outputs": [],
    "source": [
-    "mortality_task = MortalityPredictionTask(\n",
+    "mortality_task = BinaryTabularClassificationTask(\n",
     "    {model_name: model},\n",
     "    task_features=features_list,\n",
     "    task_target=\"outcome\",\n",
diff --git a/docs/source/tutorials/nihcxr/cxr_classification.ipynb b/docs/source/tutorials/nihcxr/cxr_classification.ipynb
index 1c1dbaaad..32a96e026 100644
--- a/docs/source/tutorials/nihcxr/cxr_classification.ipynb
+++ b/docs/source/tutorials/nihcxr/cxr_classification.ipynb
@@ -78,17 +78,19 @@
    "id": "198896c7",
    "metadata": {},
    "source": [
-    "CyclOps offers a package for documentation of the model through a model card. The `ModelCardReport` class is used to populate and generate the model card as an HTML file. The model card has the following sections:\n",
+    "CyclOps offers a package for documentation of the model through a model report. The `ModelCardReport` class is used to populate and generate the model report as an HTML file. The model report has the following sections:\n",
+    "\n",
+    "- Overview: Provides a high level overview of how the model is doing (a quick glance of important metrics), and how it is doing over time (performance over several metrics and subgroups over time).\n",
+    "- Datasets: High level statistics of the training data, including changes in distribution over time.\n",
+    "- Quantitative Analysis: This section contains additional detailed performance metrics of the model for different sets of the data and subpopulations.\n",
+    "- Fairness Analysis: This section contains the fairness metrics of the model.\n",
     "- Model Details: This section contains descriptive metadata about the model such as the owners, version, license, etc.\n",
     "- Model Parameters: This section contains the technical details of the model such as the model architecture, training parameters, etc.\n",
     "- Considerations: This section contains descriptions of the considerations involved in developing and using the model such as the intended use, limitations, etc.\n",
-    "- Quantitative Analysis: This section contains the performance metrics of the model for different sets of the data and subpopulations.\n",
-    "- Explainaibility Analysis: This section contains the explainability metrics of the model.\n",
-    "- Fairness Analysis: This section contains the fairness metrics of the model.\n",
     "\n",
-    "We will use this to document the model development process as we go along and generate the model card at the end.\n",
+    "We will use this to document the model development process as we go along and generate the model report at the end.\n",
     "\n",
-    "`The model card tool is a work in progress and is subject to change.`"
+    "`The model report tool is a work in progress and is subject to change.`"
    ]
   },
   {
@@ -153,7 +155,7 @@
    "id": "c7c9172a",
    "metadata": {},
    "source": [
-    "### Load Model and get Predictions"
+    "## Model Creation"
    ]
   },
   {
@@ -164,6 +166,7 @@
    "outputs": [],
    "source": [
     "model = PTModel(DenseNet(weights=\"densenet121-res224-nih\"))\n",
+    "\n",
     "model.initialize()\n",
     "nih_ds = model.predict(\n",
     "    nih_ds,\n",
diff --git a/docs/source/tutorials/synthea/los_prediction.ipynb b/docs/source/tutorials/synthea/los_prediction.ipynb
index ba6c7a496..ac3c763f8 100644
--- a/docs/source/tutorials/synthea/los_prediction.ipynb
+++ b/docs/source/tutorials/synthea/los_prediction.ipynb
@@ -60,7 +60,7 @@
     "from cyclops.report import ModelCardReport\n",
     "from cyclops.report.plot.classification import ClassificationPlotter\n",
     "from cyclops.report.utils import flatten_results_dict\n",
-    "from cyclops.tasks.mortality_prediction import MortalityPredictionTask"
+    "from cyclops.tasks import BinaryTabularClassificationTask"
    ]
   },
   {
@@ -68,17 +68,19 @@
    "id": "a0c35352-ccef-47c9-8d1a-3062c62adb97",
    "metadata": {},
    "source": [
-    "CyclOps offers a package for documentation of the model through a model card. The `ModelCardReport` class is used to populate and generate the model card as an HTML file. The model card has the following sections:\n",
+    "CyclOps offers a package for documentation of the model through a model report. The `ModelCardReport` class is used to populate and generate the model report as an HTML file. The model report has the following sections:\n",
+    "\n",
+    "- Overview: Provides a high level overview of how the model is doing (a quick glance of important metrics), and how it is doing over time (performance over several metrics and subgroups over time).\n",
+    "- Datasets: High level statistics of the training data, including changes in distribution over time.\n",
+    "- Quantitative Analysis: This section contains additional detailed performance metrics of the model for different sets of the data and subpopulations.\n",
+    "- Fairness Analysis: This section contains the fairness metrics of the model.\n",
     "- Model Details: This section contains descriptive metadata about the model such as the owners, version, license, etc.\n",
     "- Model Parameters: This section contains the technical details of the model such as the model architecture, training parameters, etc.\n",
     "- Considerations: This section contains descriptions of the considerations involved in developing and using the model such as the intended use, limitations, etc.\n",
-    "- Quantitative Analysis: This section contains the performance metrics of the model for different sets of the data and subpopulations.\n",
-    "- Explainaibility Analysis: This section contains the explainability metrics of the model.\n",
-    "- Fairness Analysis: This section contains the fairness metrics of the model.\n",
     "\n",
-    "We will use this to document the model development process as we go along and generate the model card at the end.\n",
+    "We will use this to document the model development process as we go along and generate the model report at the end.\n",
     "\n",
-    "`The model card tool is a work in progress and is subject to change.`"
+    "`The model report tool is a work in progress and is subject to change.`"
    ]
   },
   {
@@ -808,7 +810,7 @@
    },
    "outputs": [],
    "source": [
-    "los_task = MortalityPredictionTask(\n",
+    "los_task = BinaryTabularClassificationTask(\n",
     "    {model_name: model},\n",
     "    task_features=features_list,\n",
     "    task_target=\"outcome\",\n",