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"\n",
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"Use Python 3.12 or 3.13 and install this checkout with `uv pip install --editable '.[notebooks]'`.\n",
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"See **Run notebooks locally** in the repository README for the kernel, execution order,\n",
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"and full-data options. Run related notebooks from the same working directory\n",
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"to share the default `.cache/` model store and `tracing_database.json` database.\n"
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"and full-data options. Generated figures are saved in the working directory.\n"
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]
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4a11c71a",
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"outputs": [],
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"metadata": {
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"execution": {
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"data": {
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"cell_type": "code",
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"execution_count": 4,
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"id": "cell-5",
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"metadata": {},
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-10-28T22:47:52.586376Z",
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"iopub.status.busy": "2026-10-28T22:47:52.586316Z",
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}
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},
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"outputs": [],
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"source": [
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"from sklearn.naive_bayes import MultinomialNB\n",
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"metadata": {
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"execution": {
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" <tbody>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>0.004115</td>\n",
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" <td>0.000260</td>\n",
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" <td>0.001606</td>\n",
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" <td>0.000055</td>\n",
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" <td>0.003533</td>\n",
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" <td>0.000225</td>\n",
|
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" <td>0.001693</td>\n",
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" <td>0.000093</td>\n",
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" <td>1.0</td>\n",
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" <td>True</td>\n",
|
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" <td>0.9</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td>0.004385</td>\n",
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" <td>0.000527</td>\n",
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" <td>0.001801</td>\n",
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" <td>0.000060</td>\n",
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" <td>0.003541</td>\n",
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" <td>0.000153</td>\n",
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" <td>0.001560</td>\n",
|
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" <td>0.000040</td>\n",
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" <td>1.0</td>\n",
|
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" <td>False</td>\n",
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" <td>0.9</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>0.009770</td>\n",
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" <td>0.003560</td>\n",
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" <td>0.002647</td>\n",
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" <td>0.000300</td>\n",
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" <td>0.008523</td>\n",
|
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" <td>0.003302</td>\n",
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" <td>0.002370</td>\n",
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" <td>0.000126</td>\n",
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" <td>0.5</td>\n",
|
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" <td>True</td>\n",
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" <td>0.9</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>0.005172</td>\n",
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" <td>0.000944</td>\n",
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" <td>0.001999</td>\n",
|
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" <td>0.000186</td>\n",
|
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" <td>0.003354</td>\n",
|
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" <td>0.000213</td>\n",
|
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" <td>0.001738</td>\n",
|
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" <td>0.000117</td>\n",
|
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" <td>0.5</td>\n",
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" <td>False</td>\n",
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" <td>0.9</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>0.004092</td>\n",
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" <td>0.001210</td>\n",
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" <td>0.002313</td>\n",
|
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" <td>0.000227</td>\n",
|
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" <td>0.003001</td>\n",
|
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" <td>0.000492</td>\n",
|
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" <td>0.001699</td>\n",
|
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" <td>0.000205</td>\n",
|
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" <td>0.5</td>\n",
|
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" <td>True</td>\n",
|
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" <td>0.9</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>0.003984</td>\n",
|
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" <td>0.000263</td>\n",
|
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" <td>0.001870</td>\n",
|
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" <td>0.000106</td>\n",
|
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" <td>0.002694</td>\n",
|
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" <td>0.000210</td>\n",
|
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" <td>0.001664</td>\n",
|
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" <td>0.000100</td>\n",
|
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" <td>0.5</td>\n",
|
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" <td>False</td>\n",
|
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" <td>0.9</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>0.002690</td>\n",
|
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" <td>0.000284</td>\n",
|
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" <td>0.001573</td>\n",
|
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" <td>0.000183</td>\n",
|
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" <td>0.002624</td>\n",
|
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" <td>0.000035</td>\n",
|
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" <td>0.002088</td>\n",
|
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" <td>0.000339</td>\n",
|
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" <td>1.0</td>\n",
|
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" <td>True</td>\n",
|
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" <td>0.9</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>0.003193</td>\n",
|
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" <td>0.000383</td>\n",
|
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" <td>0.001686</td>\n",
|
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" <td>0.000183</td>\n",
|
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" <td>0.002653</td>\n",
|
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" <td>0.000031</td>\n",
|
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" <td>0.001487</td>\n",
|
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" <td>0.000070</td>\n",
|
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" <td>1.0</td>\n",
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" <td>False</td>\n",
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" <td>0.9</td>\n",
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],
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"text/plain": [
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" mean_fit_time std_fit_time mean_score_time std_score_time \\\n",
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"4 0.004115 0.000260 0.001606 0.000055 \n",
|
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"6 0.004385 0.000527 0.001801 0.000060 \n",
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"0 0.009770 0.003560 0.002647 0.000300 \n",
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"2 0.005172 0.000944 0.001999 0.000186 \n",
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"1 0.004092 0.001210 0.002313 0.000227 \n",
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"3 0.003984 0.000263 0.001870 0.000106 \n",
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"5 0.002690 0.000284 0.001573 0.000183 \n",
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"7 0.003193 0.000383 0.001686 0.000183 \n",
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"4 0.003533 0.000225 0.001693 0.000093 \n",
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"6 0.003541 0.000153 0.001560 0.000040 \n",
|
||||
"0 0.008523 0.003302 0.002370 0.000126 \n",
|
||||
"2 0.003354 0.000213 0.001738 0.000117 \n",
|
||||
"1 0.003001 0.000492 0.001699 0.000205 \n",
|
||||
"3 0.002694 0.000210 0.001664 0.000100 \n",
|
||||
"5 0.002624 0.000035 0.002088 0.000339 \n",
|
||||
"7 0.002653 0.000031 0.001487 0.000070 \n",
|
||||
"\n",
|
||||
" param_classifier__alpha param_classifier__fit_prior \\\n",
|
||||
"4 1.0 True \n",
|
||||
|
|
@ -430,7 +662,14 @@
|
|||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "cell-7",
|
||||
"metadata": {},
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2026-10-28T22:47:53.536912Z",
|
||||
"iopub.status.busy": "2026-10-28T22:47:53.536844Z",
|
||||
"iopub.status.idle": "2026-10-28T22:47:53.592995Z",
|
||||
"shell.execute_reply": "2026-10-28T22:47:53.592634Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
|
|
@ -2714,7 +2953,14 @@
|
|||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "cell-8",
|
||||
"metadata": {},
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2026-10-28T22:47:53.594117Z",
|
||||
"iopub.status.busy": "2026-10-28T22:47:53.594030Z",
|
||||
"iopub.status.idle": "2026-10-28T22:47:56.661828Z",
|
||||
"shell.execute_reply": "2026-10-28T22:47:56.661325Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
|
|
|
|||
Loading…
Reference in a new issue