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32 changes: 16 additions & 16 deletions docs/tutorials/bivariate-branching.ipynb
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"id": "imports-data",
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"id": "fit-models",
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"id": "compare-regions",
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"id": "plot-tree",
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"outputs": [
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26 changes: 13 additions & 13 deletions docs/tutorials/categorical-features.ipynb
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Expand Up @@ -48,10 +48,10 @@
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"outputs": [
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"id": "c1a1b006",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-02T20:36:46.038353Z",
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"outputs": [
Expand All @@ -150,7 +150,7 @@
"output_type": "stream",
"text": [
"{'sex': ['sex_female', 'sex_male'], 'class': ['class_First', 'class_Second', 'class_Third'], 'who': ['who_child', 'who_man', 'who_woman'], 'embarked': ['embarked_C', 'embarked_Q', 'embarked_S']}\n",
"test accuracy: 0.798\n"
"test accuracy: 0.837\n"
]
}
],
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"id": "c1a1b008",
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52 changes: 29 additions & 23 deletions docs/tutorials/feature-importance.ipynb
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Expand Up @@ -33,25 +33,25 @@
"id": "930c9644",
"metadata": {
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{
"name": "stdout",
"output_type": "stream",
"text": [
"test accuracy: 0.895\n",
"test accuracy: 0.901\n",
"\n",
"feature importance type\n",
"mean concave points 0.7819 continuous\n",
"worst perimeter 0.0952 continuous\n",
"worst radius 0.0820 continuous\n",
"mean concave points 0.7699 continuous\n",
"worst perimeter 0.1052 continuous\n",
"worst radius 0.0719 continuous\n",
"mean radius 0.0316 continuous\n",
"mean texture 0.0213 continuous\n",
"mean radius 0.0195 continuous\n",
"area error 0.0000 continuous\n",
"mean perimeter 0.0000 continuous\n",
"mean area 0.0000 continuous\n"
Expand Down Expand Up @@ -98,10 +98,10 @@
"id": "1b900e07",
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"outputs": [
Expand All @@ -110,11 +110,11 @@
"output_type": "stream",
"text": [
"feature mean std\n",
"mean concave points 0.1302 0.2563\n",
"worst perimeter 0.1385 0.2859\n",
"worst radius 0.0950 0.2395\n",
"mean texture 0.0000 0.0000\n",
"mean radius 0.1449 0.2898\n"
"mean concave points 0.1391 0.2633\n",
"worst perimeter 0.1462 0.3008\n",
"worst radius 0.0947 0.2456\n",
"mean radius 0.1532 0.2941\n",
"mean texture 0.0062 0.0200\n"
]
}
],
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"id": "0939c04e",
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{
"name": "stdout",
"output_type": "stream",
"text": [
"test accuracy: 0.817\n",
"test accuracy: 0.817\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"feature mean std\n",
"capital-gain 0.0482 0.0053\n",
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42 changes: 24 additions & 18 deletions docs/tutorials/forests.ipynb
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Expand Up @@ -16,19 +16,19 @@
"id": "3005b6e4",
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{
"name": "stdout",
"output_type": "stream",
"text": [
"single tree test=0.877\n",
"forest (50) test=0.953\n"
"single tree test=0.906\n",
"forest (50) test=0.930\n"
]
}
],
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"id": "8589daec",
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{
"name": "stdout",
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"text": [
"n_estimators= 5: test=0.912\n",
"n_estimators= 5: test=0.906\n",
"n_estimators= 25: test=0.953\n",
"n_estimators=100: test=0.965\n",
"n_estimators=100: test=0.959\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"bootstrap 60% rows, log2 feats: test=0.959\n"
]
}
Expand Down Expand Up @@ -129,19 +135,19 @@
"id": "853d5a48",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-02T20:36:51.746475Z",
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{
"name": "stdout",
"output_type": "stream",
"text": [
"SGForest, no TAO test=0.811\n",
"SGForest, with TAO test=0.817\n",
"SGForest, no TAO test=0.814\n",
"SGForest, with TAO test=0.827\n",
"sklearn RandomForest test=0.790\n"
]
}
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32 changes: 16 additions & 16 deletions docs/tutorials/inspecting-trees.ipynb
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Expand Up @@ -16,10 +16,10 @@
"id": "82dee33a",
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"id": "340a2dc2",
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"outputs": [
Expand Down Expand Up @@ -141,10 +141,10 @@
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