diff --git a/README.md b/README.md
index 3588f14..1b3c81d 100644
--- a/README.md
+++ b/README.md
@@ -23,12 +23,7 @@ and to the video presentation [here](https://www.youtube.com/watch?v=Q7Q9o7ywXx8
 
 ## Install TimeSHAP
 
-##### Via Pip
-```
-pip install timeshap
-```
-
-##### Via Github
+#### [Recommended] Via Github
 Clone the repository into a local directory using:
 ```
 git clone https://github.com/feedzai/timeshap.git
@@ -41,8 +36,12 @@ cd timeshap
 pip install .
 ```
 
+#### Via Pip
+```
+pip install timeshap
+```
 
-##### Test your installation
+#### Test your installation
 Start a Python session in your terminal using
 
 ```
diff --git a/notebooks/AReM/AReM.ipynb b/notebooks/AReM/AReM.ipynb
index 273dbab..db2d3bf 100644
--- a/notebooks/AReM/AReM.ipynb
+++ b/notebooks/AReM/AReM.ipynb
@@ -69,7 +69,7 @@
     {
      "data": {
       "text/plain": [
-       "'1.0.2'"
+       "'1.1.0'"
       ]
      },
      "execution_count": 2,
@@ -124,80 +124,80 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "sitting/dataset5.csv ------ (480, 7)\n",
-      "sitting/dataset11.csv ------ (480, 7)\n",
-      "sitting/dataset3.csv ------ (480, 7)\n",
-      "sitting/dataset10.csv ------ (480, 7)\n",
-      "sitting/dataset12.csv ------ (480, 7)\n",
-      "sitting/dataset4.csv ------ (480, 7)\n",
-      "sitting/dataset13.csv ------ (480, 7)\n",
-      "sitting/dataset9.csv ------ (480, 7)\n",
-      "sitting/dataset2.csv ------ (480, 7)\n",
-      "sitting/dataset15.csv ------ (480, 7)\n",
-      "sitting/dataset1.csv ------ (480, 7)\n",
-      "sitting/dataset14.csv ------ (480, 7)\n",
-      "sitting/dataset6.csv ------ (480, 7)\n",
-      "sitting/dataset7.csv ------ (480, 7)\n",
-      "standing/dataset5.csv ------ (480, 7)\n",
-      "standing/dataset11.csv ------ (480, 7)\n",
-      "standing/dataset3.csv ------ (480, 7)\n",
-      "standing/dataset8.csv ------ (480, 7)\n",
-      "standing/dataset10.csv ------ (480, 7)\n",
-      "standing/dataset12.csv ------ (480, 7)\n",
-      "standing/dataset4.csv ------ (480, 7)\n",
-      "standing/dataset13.csv ------ (480, 7)\n",
-      "standing/dataset9.csv ------ (480, 7)\n",
-      "standing/dataset2.csv ------ (480, 7)\n",
-      "standing/dataset15.csv ------ (480, 7)\n",
-      "standing/dataset1.csv ------ (480, 7)\n",
-      "standing/dataset14.csv ------ (480, 7)\n",
-      "standing/dataset6.csv ------ (480, 7)\n",
-      "standing/dataset7.csv ------ (480, 7)\n",
+      "walking/dataset7.csv ------ (480, 7)\n",
+      "walking/dataset6.csv ------ (480, 7)\n",
+      "walking/dataset4.csv ------ (480, 7)\n",
       "walking/dataset5.csv ------ (480, 7)\n",
-      "walking/dataset11.csv ------ (480, 7)\n",
+      "walking/dataset1.csv ------ (480, 7)\n",
+      "walking/dataset2.csv ------ (480, 7)\n",
       "walking/dataset3.csv ------ (480, 7)\n",
-      "walking/dataset8.csv ------ (480, 7)\n",
       "walking/dataset10.csv ------ (480, 7)\n",
-      "walking/dataset12.csv ------ (480, 7)\n",
-      "walking/dataset4.csv ------ (480, 7)\n",
+      "walking/dataset11.csv ------ (480, 7)\n",
       "walking/dataset13.csv ------ (480, 7)\n",
-      "walking/dataset9.csv ------ (480, 7)\n",
-      "walking/dataset2.csv ------ (480, 7)\n",
+      "walking/dataset12.csv ------ (480, 7)\n",
       "walking/dataset15.csv ------ (480, 7)\n",
-      "walking/dataset1.csv ------ (480, 7)\n",
       "walking/dataset14.csv ------ (480, 7)\n",
-      "walking/dataset6.csv ------ (480, 7)\n",
-      "walking/dataset7.csv ------ (480, 7)\n",
-      "cycling/dataset5.csv ------ (480, 7)\n",
-      "cycling/dataset11.csv ------ (480, 7)\n",
-      "cycling/dataset3.csv ------ (480, 7)\n",
-      "cycling/dataset8.csv ------ (480, 7)\n",
-      "cycling/dataset10.csv ------ (480, 7)\n",
-      "cycling/dataset12.csv ------ (480, 7)\n",
-      "cycling/dataset4.csv ------ (480, 7)\n",
-      "cycling/dataset13.csv ------ (480, 7)\n",
-      "cycling/dataset9.csv ------ (480, 7)\n",
-      "cycling/dataset2.csv ------ (480, 7)\n",
-      "cycling/dataset15.csv ------ (480, 7)\n",
-      "cycling/dataset1.csv ------ (480, 7)\n",
-      "cycling/dataset14.csv ------ (480, 7)\n",
-      "cycling/dataset6.csv ------ (480, 7)\n",
-      "cycling/dataset7.csv ------ (480, 7)\n",
+      "walking/dataset8.csv ------ (480, 7)\n",
+      "walking/dataset9.csv ------ (480, 7)\n",
+      "standing/dataset7.csv ------ (480, 7)\n",
+      "standing/dataset6.csv ------ (480, 7)\n",
+      "standing/dataset4.csv ------ (480, 7)\n",
+      "standing/dataset5.csv ------ (480, 7)\n",
+      "standing/dataset1.csv ------ (480, 7)\n",
+      "standing/dataset2.csv ------ (480, 7)\n",
+      "standing/dataset3.csv ------ (480, 7)\n",
+      "standing/dataset10.csv ------ (480, 7)\n",
+      "standing/dataset11.csv ------ (480, 7)\n",
+      "standing/dataset13.csv ------ (480, 7)\n",
+      "standing/dataset12.csv ------ (480, 7)\n",
+      "standing/dataset15.csv ------ (480, 7)\n",
+      "standing/dataset14.csv ------ (480, 7)\n",
+      "standing/dataset8.csv ------ (480, 7)\n",
+      "standing/dataset9.csv ------ (480, 7)\n",
+      "sitting/dataset7.csv ------ (480, 7)\n",
+      "sitting/dataset6.csv ------ (480, 7)\n",
+      "sitting/dataset4.csv ------ (480, 7)\n",
+      "sitting/dataset5.csv ------ (480, 7)\n",
+      "sitting/dataset1.csv ------ (480, 7)\n",
+      "sitting/dataset2.csv ------ (480, 7)\n",
+      "sitting/dataset3.csv ------ (480, 7)\n",
+      "sitting/dataset10.csv ------ (480, 7)\n",
+      "sitting/dataset11.csv ------ (480, 7)\n",
+      "sitting/dataset13.csv ------ (480, 7)\n",
+      "sitting/dataset12.csv ------ (480, 7)\n",
+      "sitting/dataset15.csv ------ (480, 7)\n",
+      "sitting/dataset14.csv ------ (480, 7)\n",
+      "sitting/dataset9.csv ------ (480, 7)\n",
+      "lying/dataset7.csv ------ (480, 7)\n",
+      "lying/dataset6.csv ------ (480, 7)\n",
+      "lying/dataset4.csv ------ (480, 7)\n",
       "lying/dataset5.csv ------ (480, 7)\n",
-      "lying/dataset11.csv ------ (480, 7)\n",
+      "lying/dataset1.csv ------ (480, 7)\n",
+      "lying/dataset2.csv ------ (480, 7)\n",
       "lying/dataset3.csv ------ (480, 7)\n",
-      "lying/dataset8.csv ------ (480, 7)\n",
       "lying/dataset10.csv ------ (480, 7)\n",
-      "lying/dataset12.csv ------ (480, 7)\n",
-      "lying/dataset4.csv ------ (480, 7)\n",
+      "lying/dataset11.csv ------ (480, 7)\n",
       "lying/dataset13.csv ------ (480, 7)\n",
-      "lying/dataset9.csv ------ (480, 7)\n",
-      "lying/dataset2.csv ------ (480, 7)\n",
+      "lying/dataset12.csv ------ (480, 7)\n",
       "lying/dataset15.csv ------ (480, 7)\n",
-      "lying/dataset1.csv ------ (480, 7)\n",
       "lying/dataset14.csv ------ (480, 7)\n",
-      "lying/dataset6.csv ------ (480, 7)\n",
-      "lying/dataset7.csv ------ (480, 7)\n"
+      "lying/dataset8.csv ------ (480, 7)\n",
+      "lying/dataset9.csv ------ (480, 7)\n",
+      "cycling/dataset7.csv ------ (480, 7)\n",
+      "cycling/dataset6.csv ------ (480, 7)\n",
+      "cycling/dataset4.csv ------ (480, 7)\n",
+      "cycling/dataset5.csv ------ (480, 7)\n",
+      "cycling/dataset1.csv ------ (480, 7)\n",
+      "cycling/dataset2.csv ------ (480, 7)\n",
+      "cycling/dataset3.csv ------ (480, 7)\n",
+      "cycling/dataset10.csv ------ (480, 7)\n",
+      "cycling/dataset11.csv ------ (480, 7)\n",
+      "cycling/dataset13.csv ------ (480, 7)\n",
+      "cycling/dataset12.csv ------ (480, 7)\n",
+      "cycling/dataset15.csv ------ (480, 7)\n",
+      "cycling/dataset14.csv ------ (480, 7)\n",
+      "cycling/dataset8.csv ------ (480, 7)\n",
+      "cycling/dataset9.csv ------ (480, 7)\n"
      ]
     }
    ],
@@ -524,125 +524,67 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " 12%|█▎        | 1/8 [00:02<00:15,  2.23s/it]"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Train loss: 0.6997937560081482 --- Test loss 0.5927574634552002 \n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\r",
-      " 25%|██▌       | 2/8 [00:04<00:12,  2.01s/it]"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Train loss: 0.5918577313423157 --- Test loss 0.4946227967739105 \n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\r",
-      " 38%|███▊      | 3/8 [00:05<00:08,  1.72s/it]"
+      " 25%|██▌       | 2/8 [00:00<00:01,  5.63it/s]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Train loss: 0.49630260467529297 --- Test loss 0.40795645117759705 \n"
+      "Train loss: 0.7000859975814819 --- Test loss 0.5926060080528259 \n",
+      "Train loss: 0.593891441822052 --- Test loss 0.4921618103981018 \n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
-      " 50%|█████     | 4/8 [00:07<00:06,  1.69s/it]"
+      " 50%|█████     | 4/8 [00:00<00:00,  5.78it/s]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Train loss: 0.4160643219947815 --- Test loss 0.343948632478714 \n"
+      "Train loss: 0.4992573857307434 --- Test loss 0.40382787585258484 \n",
+      "Train loss: 0.41805166006088257 --- Test loss 0.34258148074150085 \n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
-      " 62%|██████▎   | 5/8 [00:10<00:06,  2.16s/it]"
+      " 75%|███████▌  | 6/8 [00:01<00:00,  5.82it/s]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Train loss: 0.3660268187522888 --- Test loss 0.2917708158493042 \n"
+      "Train loss: 0.3631644546985626 --- Test loss 0.30080685019493103 \n",
+      "Train loss: 0.32556360960006714 --- Test loss 0.260188490152359 \n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
-      " 75%|███████▌  | 6/8 [00:12<00:04,  2.37s/it]"
+      "100%|██████████| 8/8 [00:01<00:00,  5.51it/s]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Train loss: 0.334475576877594 --- Test loss 0.2376544028520584 \n"
+      "Train loss: 0.28500068187713623 --- Test loss 0.22024422883987427 \n",
+      "Train loss: 0.23866622149944305 --- Test loss 0.18811321258544922 \n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
-      " 88%|████████▊ | 7/8 [00:16<00:02,  2.69s/it]"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Train loss: 0.29900506138801575 --- Test loss 0.1931639164686203 \n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|██████████| 8/8 [00:19<00:00,  2.43s/it]"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Train loss: 0.25920480489730835 --- Test loss 0.17529389262199402 \n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\n"
+      "100%|██████████| 8/8 [00:01<00:00,  5.64it/s]\n"
      ]
     }
    ],
@@ -764,12 +706,12 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.095791</td>\n",
-       "      <td>-0.531224</td>\n",
-       "      <td>0.178574</td>\n",
-       "      <td>-0.416398</td>\n",
-       "      <td>0.129324</td>\n",
-       "      <td>-0.392722</td>\n",
+       "      <td>0.084481</td>\n",
+       "      <td>-0.520933</td>\n",
+       "      <td>0.143288</td>\n",
+       "      <td>-0.410888</td>\n",
+       "      <td>0.108927</td>\n",
+       "      <td>-0.388381</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -777,10 +719,10 @@
       ],
       "text/plain": [
        "   p_avg_rss12_normalized  p_var_rss12_normalized  p_avg_rss13_normalized  \\\n",
-       "0                0.095791               -0.531224                0.178574   \n",
+       "0                0.084481               -0.520933                0.143288   \n",
        "\n",
        "   p_var_rss13_normalized  p_avg_rss23_normalized  p_var_rss23_normalized  \n",
-       "0               -0.416398                0.129324               -0.392722  "
+       "0               -0.410888                0.108927               -0.388381  "
       ]
      },
      "execution_count": 18,
@@ -820,19 +762,19 @@
     {
      "data": {
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-       "        1.5250e+01],\n",
-       "       [2.5000e+02, 4.0585e+01, 6.0500e-01, 1.4875e+01, 7.9000e-01,\n",
-       "        1.4875e+01],\n",
-       "       [5.0000e+02, 3.9835e+01, 7.5500e-01, 1.4125e+01, 8.7000e-01,\n",
-       "        1.7000e+01],\n",
+       "array([[0.0000e+00, 4.0500e+01, 5.0000e-01, 1.4500e+01, 9.4000e-01,\n",
+       "        1.5500e+01],\n",
+       "       [2.5000e+02, 4.0000e+01, 8.3000e-01, 1.5000e+01, 9.4000e-01,\n",
+       "        1.5000e+01],\n",
+       "       [5.0000e+02, 4.0000e+01, 7.1000e-01, 1.5000e+01, 8.7000e-01,\n",
+       "        1.6500e+01],\n",
        "       ...,\n",
-       "       [1.1925e+05, 3.9625e+01, 6.6000e-01, 1.4400e+01, 9.7000e-01,\n",
-       "        1.4165e+01],\n",
-       "       [1.1950e+05, 3.9500e+01, 5.0000e-01, 1.2710e+01, 1.2050e+00,\n",
+       "       [1.1925e+05, 4.0000e+01, 8.3000e-01, 1.5330e+01, 9.4000e-01,\n",
+       "        1.4000e+01],\n",
+       "       [1.1950e+05, 3.9500e+01, 5.0000e-01, 1.4000e+01, 1.2200e+00,\n",
        "        1.5000e+01],\n",
-       "       [1.1975e+05, 3.9625e+01, 6.6000e-01, 1.4000e+01, 1.0150e+00,\n",
-       "        1.4750e+01]])"
+       "       [1.1975e+05, 3.9750e+01, 5.0000e-01, 1.4500e+01, 1.0900e+00,\n",
+       "        1.4250e+01]])"
       ]
      },
      "execution_count": 20,
@@ -924,29 +866,36 @@
      "data": {
       "text/html": [
        "\n",
-       "<div id=\"altair-viz-1cb9875a34b74e9d975a9231fe2b6083\"></div>\n",
+       "<div id=\"altair-viz-e2a03f50bed242f28135b35f2b62d018\"></div>\n",
        "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-1cb9875a34b74e9d975a9231fe2b6083\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-1cb9875a34b74e9d975a9231fe2b6083\");\n",
+       "    if (outputDiv.id !== \"altair-viz-e2a03f50bed242f28135b35f2b62d018\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-e2a03f50bed242f28135b35f2b62d018\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
        "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
        "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
        "    };\n",
        "\n",
-       "    function loadScript(lib) {\n",
-       "      return new Promise(function(resolve, reject) {\n",
-       "        var s = document.createElement('script');\n",
-       "        s.src = paths[lib];\n",
-       "        s.async = true;\n",
-       "        s.onload = () => resolve(paths[lib]);\n",
-       "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "      });\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
        "    }\n",
        "\n",
        "    function showError(err) {\n",
@@ -962,16 +911,14 @@
        "    if(typeof define === \"function\" && define.amd) {\n",
        "      requirejs.config({paths});\n",
        "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else if (typeof vegaEmbed === \"function\") {\n",
-       "      displayChart(vegaEmbed);\n",
        "    } else {\n",
-       "      loadScript(\"vega\")\n",
-       "        .then(() => loadScript(\"vega-lite\"))\n",
-       "        .then(() => loadScript(\"vega-embed\"))\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
        "        .catch(showError)\n",
        "        .then(() => displayChart(vegaEmbed));\n",
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       "text/plain": [
@@ -1022,6 +969,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "The defined path for pruning data already exists and the append option is turned off. TimeSHAP will only read from this file and will not create new explanation data\n",
+      "The defined path for event explanations already exists and the append option is turned off. TimeSHAP will only read from this file and will not create new explanation data\n",
+      "The defined path for feature explanations already exists and the append option is turned off. TimeSHAP will only read from this file and will not create new explanation data\n",
       "Calculating pruning algorithm\n",
       "Calculating event data\n",
       "Calculating feat data\n",
@@ -1058,14 +1008,14 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>0.05</td>\n",
-       "      <td>12.75</td>\n",
-       "      <td>1.258306</td>\n",
+       "      <td>14.50</td>\n",
+       "      <td>3.415650</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>0.075</td>\n",
-       "      <td>11.25</td>\n",
-       "      <td>1.258306</td>\n",
+       "      <td>12.75</td>\n",
+       "      <td>2.629956</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -1079,8 +1029,8 @@
       ],
       "text/plain": [
        "    Tolerance    Mean       Std\n",
-       "0        0.05   12.75  1.258306\n",
-       "1       0.075   11.25  1.258306\n",
+       "0        0.05   14.50  3.415650\n",
+       "1       0.075   12.75  2.629956\n",
        "2  No Pruning  480.00  0.000000"
       ]
      },
@@ -1111,29 +1061,36 @@
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-       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
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+       "    function maybeLoadScript(lib, version) {\n",
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+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
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@@ -1223,29 +1178,36 @@
      "data": {
       "text/html": [
        "\n",
-       "<div id=\"altair-viz-65fd5ac4c3834351b8c3a81eba553bc9\"></div>\n",
+       "<div id=\"altair-viz-3a86427e245e4e679c4b853b4530a624\"></div>\n",
        "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
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-       "      outputDiv = document.getElementById(\"altair-viz-65fd5ac4c3834351b8c3a81eba553bc9\");\n",
+       "    if (outputDiv.id !== \"altair-viz-3a86427e245e4e679c4b853b4530a624\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-3a86427e245e4e679c4b853b4530a624\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
        "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
        "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
        "    };\n",
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-       "        s.src = paths[lib];\n",
-       "        s.async = true;\n",
-       "        s.onload = () => resolve(paths[lib]);\n",
-       "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "      });\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
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-       "      displayChart(vegaEmbed);\n",
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-       "      loadScript(\"vega\")\n",
-       "        .then(() => loadScript(\"vega-lite\"))\n",
-       "        .then(() => loadScript(\"vega-embed\"))\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
        "        .catch(showError)\n",
        "        .then(() => displayChart(vegaEmbed));\n",
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-       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
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@@ -1393,29 +1358,36 @@
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       "text/html": [
        "\n",
-       "<div id=\"altair-viz-ef75212cdafe442287f75599264012b0\"></div>\n",
+       "<div id=\"altair-viz-4b2ca9b789e84f32a034abe81c9b9400\"></div>\n",
        "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-ef75212cdafe442287f75599264012b0\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-ef75212cdafe442287f75599264012b0\");\n",
+       "    if (outputDiv.id !== \"altair-viz-4b2ca9b789e84f32a034abe81c9b9400\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-4b2ca9b789e84f32a034abe81c9b9400\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
        "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
        "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
        "    };\n",
        "\n",
-       "    function loadScript(lib) {\n",
-       "      return new Promise(function(resolve, reject) {\n",
-       "        var s = document.createElement('script');\n",
-       "        s.src = paths[lib];\n",
-       "        s.async = true;\n",
-       "        s.onload = () => resolve(paths[lib]);\n",
-       "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "      });\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
        "    }\n",
        "\n",
        "    function showError(err) {\n",
@@ -1431,16 +1403,14 @@
        "    if(typeof define === \"function\" && define.amd) {\n",
        "      requirejs.config({paths});\n",
        "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else if (typeof vegaEmbed === \"function\") {\n",
-       "      displayChart(vegaEmbed);\n",
        "    } else {\n",
-       "      loadScript(\"vega\")\n",
-       "        .then(() => loadScript(\"vega-lite\"))\n",
-       "        .then(() => loadScript(\"vega-embed\"))\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
        "        .catch(showError)\n",
        "        .then(() => displayChart(vegaEmbed));\n",
        "    }\n",
-       "  })({\"config\": {\"axis\": {\"domain\": true, \"domainColor\": \"#666F89\", \"grid\": false, \"gridCap\": \"round\", \"gridColor\": \"#B3B7C4\", \"gridDash\": [2, 4], \"gridWidth\": 0.5, \"labelColor\": \"#666F89\", \"labelFont\": \"Roboto, Arial, sans-serif\", \"labelPadding\": 2, \"tickColor\": \"#666F89\", \"tickOpacity\": 0.5, \"tickSize\": 4, \"titleColor\": \"#19274E\", \"titleFont\": \"Roboto, Arial, sans-serif\", \"titleFontSize\": 12}, \"axisBand\": {\"domain\": true, \"labelPadding\": 4, \"ticks\": false}, \"axisY\": {\"domain\": false, \"titleAlign\": \"left\", \"titleAngle\": 0, \"titleX\": -20, \"titleY\": -10}, \"legend\": {\"labelColor\": \"#666F89\", \"labelFont\": \"Roboto, Arial, sans-serif\", \"labelFontSize\": 12, \"symbolSize\": 40, \"titleColor\": \"#19274E\", \"titleFont\": \"Roboto, Arial, sans-serif\", \"titleFontSize\": 12, \"titlePadding\": 4}, \"arc\": {\"stroke\": \"#FFFFFF\", \"strokeWidth\": 1}, \"bar\": {\"fill\": \"#2770EB\", \"stroke\": null}, \"line\": {\"stroke\": \"#2770EB\", \"strokeWidth\": 2}, \"path\": {\"stroke\": \"#2770EB\", \"strokeWidth\": 0.5}, \"point\": {\"fill\": \"#2770EB\", \"shape\": \"circle\", \"filled\": true}, \"rect\": {\"fill\": \"#2770EB\"}, \"rule\": {\"stroke\": \"#666F89\"}, \"shape\": {\"stroke\": \"#2770EB\"}, \"text\": {\"color\": \"#19274E\", \"font\": \"Roboto, Arial, sans-serif\", \"fontSize\": 12}, \"range\": {\"category\": [\"#2770EB\", \"#77B98A\", \"#DA5252\", \"#FFC400\", \"#A87AEA\", \"#00A39E\", \"#19274E\"], \"diverging\": [\"#006360\", \"#2BB3AE\", \"#96D9D7\", \"#FFFFFF\", \"#EDAAAA\", \"#DA5252\", \"#811D1D\"], \"heatmap\": [\"#18448F\", \"#1B4EA5\", \"#2770EB\", \"#4C88EE\", \"#82ACF3\", \"#A6C4F7\", \"#E9F1FD\"], \"ramp\": [\"#18448F\", \"#1B4EA5\", \"#2770EB\", \"#4C88EE\", \"#82ACF3\", \"#A6C4F7\", \"#E9F1FD\"]}, \"background\": \"#FFFFFF\", \"group\": {\"fill\": \"#FFFFFF\"}, \"header\": {\"labelColor\": \"#19274E\", \"labelFont\": \"Roboto, Arial, sans-serif\", \"labelFontSize\": 12, \"titleColor\": \"#19274E\", \"titleFont\": \"Roboto, Arial, sans-serif\", \"titleFontSize\": 16}, \"title\": {\"anchor\": \"start\", \"color\": \"#19274E\", \"font\": \"Roboto, Arial, sans-serif\", \"fontSize\": 20, \"fontWeight\": \"bold\", \"offset\": 20, \"subtitleColor\": \"#19274E\", \"subtitleFontSize\": 16}, \"view\": {\"continuousHeight\": 300, \"continuousWidth\": 400, \"stroke\": \"transparent\"}}, \"layer\": [{\"data\": {\"name\": \"data-b09dfe608dcd4be0669b980e33f5012b\"}, \"mark\": {\"type\": \"bar\", \"size\": 15, \"thickness\": 1}, \"encoding\": {\"x\": {\"type\": \"quantitative\", \"axis\": {\"grid\": true, \"labelFontSize\": 15, \"title\": \"Shapley Value\", \"titleFontSize\": 15}, \"field\": \"Shapley Value\", \"scale\": {\"domain\": [-0.1, 0.4]}}, \"y\": {\"type\": \"nominal\", \"axis\": {\"labelFontSize\": 15, \"title\": \"Feature\", \"titleFontSize\": 15, \"titleX\": -61}, \"field\": \"Feature\", \"sort\": {\"field\": \"sort_col\", \"order\": \"descending\"}}}}, {\"data\": {\"name\": \"data-9c00aa9dc2b1c1a0b4bf9b34ead12925\"}, \"mark\": {\"type\": \"rule\", \"color\": \"#798184\"}, \"encoding\": {\"x\": {\"type\": \"quantitative\", \"field\": \"x\"}}}], \"height\": 225, \"width\": 190, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.8.1.json\", \"datasets\": {\"data-b09dfe608dcd4be0669b980e33f5012b\": [{\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"Mean Chest <-> Right Ankle\", \"Shapley Value\": 0.007282042725100413, \"sort_col\": 0.007282042725100413}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"STD Chest <-> Right Ankle\", \"Shapley Value\": 0.02206718329162838, \"sort_col\": 0.02206718329162838}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"Mean Chest <-> Left Ankle\", \"Shapley Value\": 0.14146891618591007, \"sort_col\": 0.14146891618591007}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"STD Chest <-> Left Ankle\", \"Shapley Value\": 0.13287185707262572, \"sort_col\": 0.13287185707262572}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"Mean Right Ankle <-> Left Ankle\", \"Shapley Value\": 0.13443667789743746, \"sort_col\": 0.13443667789743746}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"STD Right Ankle <-> Left Ankle\", \"Shapley Value\": 0.23095326930107088, \"sort_col\": 0.23095326930107088}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"Pruned Events\", \"Shapley Value\": 0.04169822286016189, \"sort_col\": 0.04169822286016189}], \"data-9c00aa9dc2b1c1a0b4bf9b34ead12925\": [{\"x\": 0}]}}, {\"mode\": \"vega-lite\"});\n",
+       "  })({\"config\": {\"axis\": {\"domain\": true, \"domainColor\": \"#666F89\", \"grid\": false, \"gridCap\": \"round\", \"gridColor\": \"#B3B7C4\", \"gridDash\": [2, 4], \"gridWidth\": 0.5, \"labelColor\": \"#666F89\", \"labelFont\": \"Roboto, Arial, sans-serif\", \"labelPadding\": 2, \"tickColor\": \"#666F89\", \"tickOpacity\": 0.5, \"tickSize\": 4, \"titleColor\": \"#19274E\", \"titleFont\": \"Roboto, Arial, sans-serif\", \"titleFontSize\": 12}, \"axisBand\": {\"domain\": true, \"labelPadding\": 4, \"ticks\": false}, \"axisY\": {\"domain\": false, \"titleAlign\": \"left\", \"titleAngle\": 0, \"titleX\": -20, \"titleY\": -10}, \"legend\": {\"labelColor\": \"#666F89\", \"labelFont\": \"Roboto, Arial, sans-serif\", \"labelFontSize\": 12, \"symbolSize\": 40, \"titleColor\": \"#19274E\", \"titleFont\": \"Roboto, Arial, sans-serif\", \"titleFontSize\": 12, \"titlePadding\": 4}, \"arc\": {\"stroke\": \"#FFFFFF\", \"strokeWidth\": 1}, \"bar\": {\"fill\": \"#2770EB\", \"stroke\": null}, \"line\": {\"stroke\": \"#2770EB\", \"strokeWidth\": 2}, \"path\": {\"stroke\": \"#2770EB\", \"strokeWidth\": 0.5}, \"point\": {\"fill\": \"#2770EB\", \"shape\": \"circle\", \"filled\": true}, \"rect\": {\"fill\": \"#2770EB\"}, \"rule\": {\"stroke\": \"#666F89\"}, \"shape\": {\"stroke\": \"#2770EB\"}, \"text\": {\"color\": \"#19274E\", \"font\": \"Roboto, Arial, sans-serif\", \"fontSize\": 12}, \"range\": {\"category\": [\"#2770EB\", \"#77B98A\", \"#DA5252\", \"#FFC400\", \"#A87AEA\", \"#00A39E\", \"#19274E\"], \"diverging\": [\"#006360\", \"#2BB3AE\", \"#96D9D7\", \"#FFFFFF\", \"#EDAAAA\", \"#DA5252\", \"#811D1D\"], \"heatmap\": [\"#18448F\", \"#1B4EA5\", \"#2770EB\", \"#4C88EE\", \"#82ACF3\", \"#A6C4F7\", \"#E9F1FD\"], \"ramp\": [\"#18448F\", \"#1B4EA5\", \"#2770EB\", \"#4C88EE\", \"#82ACF3\", \"#A6C4F7\", \"#E9F1FD\"]}, \"background\": \"#FFFFFF\", \"group\": {\"fill\": \"#FFFFFF\"}, \"header\": {\"labelColor\": \"#19274E\", \"labelFont\": \"Roboto, Arial, sans-serif\", \"labelFontSize\": 12, \"titleColor\": \"#19274E\", \"titleFont\": \"Roboto, Arial, sans-serif\", \"titleFontSize\": 16}, \"title\": {\"anchor\": \"start\", \"color\": \"#19274E\", \"font\": \"Roboto, Arial, sans-serif\", \"fontSize\": 20, \"fontWeight\": \"bold\", \"offset\": 20, \"subtitleColor\": \"#19274E\", \"subtitleFontSize\": 16}, \"view\": {\"continuousHeight\": 300, \"continuousWidth\": 400, \"stroke\": \"transparent\"}}, \"layer\": [{\"data\": {\"name\": \"data-8c1003e0fd0090c2eb9abb92cc4e71a5\"}, \"mark\": {\"type\": \"bar\", \"size\": 15, \"thickness\": 1}, \"encoding\": {\"x\": {\"axis\": {\"grid\": true, \"labelFontSize\": 15, \"title\": \"Shapley Value\", \"titleFontSize\": 15}, \"field\": \"Shapley Value\", \"scale\": {\"domain\": [-0.1, 0.4]}, \"type\": \"quantitative\"}, \"y\": {\"axis\": {\"labelFontSize\": 15, \"title\": \"Feature\", \"titleFontSize\": 15, \"titleX\": -61}, \"field\": \"Feature\", \"sort\": {\"field\": \"sort_col\", \"order\": \"descending\"}, \"type\": \"nominal\"}}}, {\"data\": {\"name\": \"data-9c00aa9dc2b1c1a0b4bf9b34ead12925\"}, \"mark\": {\"type\": \"rule\", \"color\": \"#798184\"}, \"encoding\": {\"x\": {\"field\": \"x\", \"type\": \"quantitative\"}}}], \"height\": 225, \"width\": 190, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-8c1003e0fd0090c2eb9abb92cc4e71a5\": [{\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"Mean Chest <-> Right Ankle\", \"Shapley Value\": -0.022455559258482215, \"sort_col\": 0.022455559258482215}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"STD Chest <-> Right Ankle\", \"Shapley Value\": 0.031395107237178706, \"sort_col\": 0.031395107237178706}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"Mean Chest <-> Left Ankle\", \"Shapley Value\": -0.0021522108687174633, \"sort_col\": 0.0021522108687174633}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"STD Chest <-> Left Ankle\", \"Shapley Value\": 0.11019265829541128, \"sort_col\": 0.11019265829541128}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"Mean Right Ankle <-> Left Ankle\", \"Shapley Value\": 0.06634354700910894, \"sort_col\": 0.06634354700910894}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"STD Right Ankle <-> Left Ankle\", \"Shapley Value\": 0.0863955725693985, \"sort_col\": 0.0863955725693985}, {\"Random seed\": 42, \"NSamples\": 32000, \"Feature\": \"Pruned Events\", \"Shapley Value\": 0.021624590744752314, \"sort_col\": 0.021624590744752314}], \"data-9c00aa9dc2b1c1a0b4bf9b34ead12925\": [{\"x\": 0}]}}, {\"mode\": \"vega-lite\"});\n",
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@@ -1477,29 +1447,36 @@
      "data": {
       "text/html": [
        "\n",
-       "<div id=\"altair-viz-5e17673c77224ad6a9b42e4f214892aa\"></div>\n",
+       "<div id=\"altair-viz-0283f9a90eaa4a4e89039fbdf2cd0300\"></div>\n",
        "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-5e17673c77224ad6a9b42e4f214892aa\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-5e17673c77224ad6a9b42e4f214892aa\");\n",
+       "    if (outputDiv.id !== \"altair-viz-0283f9a90eaa4a4e89039fbdf2cd0300\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-0283f9a90eaa4a4e89039fbdf2cd0300\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
        "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
        "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
        "    };\n",
        "\n",
-       "    function loadScript(lib) {\n",
-       "      return new Promise(function(resolve, reject) {\n",
-       "        var s = document.createElement('script');\n",
-       "        s.src = paths[lib];\n",
-       "        s.async = true;\n",
-       "        s.onload = () => resolve(paths[lib]);\n",
-       "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "      });\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
        "    }\n",
        "\n",
        "    function showError(err) {\n",
@@ -1515,16 +1492,14 @@
        "    if(typeof define === \"function\" && define.amd) {\n",
        "      requirejs.config({paths});\n",
        "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else if (typeof vegaEmbed === \"function\") {\n",
-       "      displayChart(vegaEmbed);\n",
        "    } else {\n",
-       "      loadScript(\"vega\")\n",
-       "        .then(() => loadScript(\"vega-lite\"))\n",
-       "        .then(() => loadScript(\"vega-embed\"))\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
        "        .catch(showError)\n",
        "        .then(() => displayChart(vegaEmbed));\n",
        "    }\n",
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        "</script>"
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       "text/plain": [
@@ -1609,14 +1584,14 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>0.05</td>\n",
-       "      <td>12.75</td>\n",
-       "      <td>1.258306</td>\n",
+       "      <td>14.50</td>\n",
+       "      <td>3.415650</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>0.075</td>\n",
-       "      <td>11.25</td>\n",
-       "      <td>1.258306</td>\n",
+       "      <td>12.75</td>\n",
+       "      <td>2.629956</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -1630,8 +1605,8 @@
       ],
       "text/plain": [
        "    Tolerance    Mean       Std\n",
-       "0        0.05   12.75  1.258306\n",
-       "1       0.075   11.25  1.258306\n",
+       "0        0.05   14.50  3.415650\n",
+       "1       0.075   12.75  2.629956\n",
        "2  No Pruning  480.00  0.000000"
       ]
      },
@@ -1665,29 +1640,36 @@
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       "text/html": [
        "\n",
-       "<div id=\"altair-viz-20b497a464ee4cc8aaa5639c0906b690\"></div>\n",
+       "<div id=\"altair-viz-f38086485b5e4ee6b75236dc6a19697b\"></div>\n",
        "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
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-       "      outputDiv = document.getElementById(\"altair-viz-20b497a464ee4cc8aaa5639c0906b690\");\n",
+       "    if (outputDiv.id !== \"altair-viz-f38086485b5e4ee6b75236dc6a19697b\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-f38086485b5e4ee6b75236dc6a19697b\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
        "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
        "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
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-       "        s.src = paths[lib];\n",
-       "        s.async = true;\n",
-       "        s.onload = () => resolve(paths[lib]);\n",
-       "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "      });\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
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        "    } else {\n",
-       "      loadScript(\"vega\")\n",
-       "        .then(() => loadScript(\"vega-lite\"))\n",
-       "        .then(() => loadScript(\"vega-embed\"))\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
        "        .catch(showError)\n",
        "        .then(() => displayChart(vegaEmbed));\n",
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        "<script type=\"text/javascript\">\n",
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-       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
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+       "    function maybeLoadScript(lib, version) {\n",
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+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
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0.0606486190066096, \"Feature\": \"Mean Right Ankle <-> Left Ankle\", \"type\": \"Shapley Value\"}, {\"Shapley Value\": 0.076302985749429, \"Feature\": \"STD Right Ankle <-> Left Ankle\", \"type\": \"Shapley Value\"}, {\"Shapley Value\": 0.0525606837079284, \"Feature\": \"Pruned Events\", \"type\": \"Shapley Value\"}, {\"Shapley Value\": 0.13296230028028644, \"Feature\": \"Pruned Events\", \"type\": \"Mean\"}, {\"Shapley Value\": -0.016175738294120924, \"Feature\": \"Mean Chest <-> Right Ankle\", \"type\": \"Mean\"}, {\"Shapley Value\": 0.08287380361109092, \"Feature\": \"Mean Chest <-> Left Ankle\", \"type\": \"Mean\"}, {\"Shapley Value\": 0.17579088270154186, \"Feature\": \"Mean Right Ankle <-> Left Ankle\", \"type\": \"Mean\"}, {\"Shapley Value\": 0.023409635861892125, \"Feature\": \"STD Chest <-> Right Ankle\", \"type\": \"Mean\"}, {\"Shapley Value\": 0.17967696230348534, \"Feature\": \"STD Chest <-> Left Ankle\", \"type\": \"Mean\"}, {\"Shapley Value\": 0.10178188186560169, \"Feature\": \"STD Right Ankle <-> Left Ankle\", \"type\": \"Mean\"}]}}, {\"mode\": \"vega-lite\"});\n",
        "</script>"
       ],
       "text/plain": [
@@ -1822,14 +1807,6 @@
    "metadata": {},
    "outputs": [],
    "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "99559082",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -1848,7 +1825,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.8.19"
   }
  },
  "nbformat": 4,
diff --git a/requirements/main.txt b/requirements/main.txt
index 50ba133..6fd6cfb 100644
--- a/requirements/main.txt
+++ b/requirements/main.txt
@@ -1,9 +1,9 @@
-pandas>=1.3.2
+pandas>=1.3.2,<=1.5.3
 scikit-learn>=0.23.2
 seaborn>=0.11.1
 matplotlib>=3.3.2
 numpy>=1.19.2
-shap>=0.37.0
+shap>=0.37.0,<=0.42.1
 scipy>=1.5.2
 plotly>=4.6
 seaborn>=0.11.2
diff --git a/setup.py b/setup.py
index 7224192..ee1c124 100644
--- a/setup.py
+++ b/setup.py
@@ -46,26 +46,25 @@ def stream_requirements(fd):
     version=__version__,
     description="KernelSHAP adaptation for recurrent models.",
     keywords=['explainability', 'TimeShap'],
-    
     long_description=(README_PATH).read_text(),
     long_description_content_type="text/markdown",
-    
     author="Feedzai",
     url="https://github.com/feedzai/timeshap",
-
     package_dir={'': 'src'},
     packages=find_packages('src', exclude=['tests', 'tests.*']),
     package_data={
         '': ['*.yaml, *.yml'],
     },
     include_package_data=True,
-
     python_requires='>=3.6',
-
     install_requires=requirements,
-
     zip_safe=False,
-
     test_suite='tests',
     tests_require=requirements_test,
+    classifiers=[
+        "Development Status :: 4 - Beta",
+        "Intended Audience :: Science/Research",
+        "Topic :: Scientific/Engineering :: Artificial Intelligence",
+        "Programming Language :: Python :: 3",
+    ],
 )
diff --git a/src/timeshap/version.py b/src/timeshap/version.py
index 551c4c4..ee4eb0d 100644
--- a/src/timeshap/version.py
+++ b/src/timeshap/version.py
@@ -1,4 +1,3 @@
 """File to keep the package version in one place"""
-__version__ = "1.0.4"
+__version__ = "1.1.0"
 __version_info__ = tuple(__version__.split("."))
-