diff --git a/l2/TM-Lab2.ipynb b/l2/TM-Lab2.ipynb
index bc7f6a676f3fe8a004a11db80406d82f67ef6de8..8d88deb55c43246d04cfcf56ea0500f27417ea68 100644
--- a/l2/TM-Lab2.ipynb
+++ b/l2/TM-Lab2.ipynb
@@ -37,7 +37,7 @@
},
{
"cell_type": "code",
- "execution_count": 311,
+ "execution_count": 29,
"metadata": {
"editable": true,
"slideshow": {
@@ -71,7 +71,7 @@
},
{
"cell_type": "code",
- "execution_count": 312,
+ "execution_count": 30,
"metadata": {
"deletable": false,
"editable": false,
@@ -111,7 +111,7 @@
},
{
"cell_type": "code",
- "execution_count": 313,
+ "execution_count": 31,
"metadata": {},
"outputs": [
{
@@ -184,7 +184,7 @@
"4 H5-003-004 herr talman ansvar och rättssäkerhet är två or... SD"
]
},
- "execution_count": 313,
+ "execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
@@ -202,7 +202,7 @@
},
{
"cell_type": "code",
- "execution_count": 314,
+ "execution_count": 32,
"metadata": {
"deletable": false,
"editable": false,
@@ -231,7 +231,7 @@
},
{
"cell_type": "code",
- "execution_count": 315,
+ "execution_count": 33,
"metadata": {},
"outputs": [
{
@@ -274,7 +274,7 @@
},
{
"cell_type": "code",
- "execution_count": 316,
+ "execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
@@ -285,7 +285,7 @@
},
{
"cell_type": "code",
- "execution_count": 317,
+ "execution_count": 35,
"metadata": {
"deletable": false,
"nbgrader": {
@@ -306,7 +306,7 @@
"outputs": [
{
"data": {
- "image/png": "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",
+ "image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
@@ -333,7 +333,7 @@
},
{
"cell_type": "code",
- "execution_count": 318,
+ "execution_count": 36,
"metadata": {
"deletable": false,
"nbgrader": {
@@ -354,7 +354,7 @@
"outputs": [
{
"data": {
- "image/png": "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",
+ "image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
@@ -426,7 +426,7 @@
},
{
"cell_type": "code",
- "execution_count": 319,
+ "execution_count": 37,
"metadata": {
"deletable": false,
"nbgrader": {
@@ -472,7 +472,7 @@
{
"data": {
"text/html": [
- "<style>#sk-container-id-7 {\n",
+ "<style>#sk-container-id-2 {\n",
" /* Definition of color scheme common for light and dark mode */\n",
" --sklearn-color-text: black;\n",
" --sklearn-color-line: gray;\n",
@@ -502,15 +502,15 @@
" }\n",
"}\n",
"\n",
- "#sk-container-id-7 {\n",
+ "#sk-container-id-2 {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
- "#sk-container-id-7 pre {\n",
+ "#sk-container-id-2 pre {\n",
" padding: 0;\n",
"}\n",
"\n",
- "#sk-container-id-7 input.sk-hidden--visually {\n",
+ "#sk-container-id-2 input.sk-hidden--visually {\n",
" border: 0;\n",
" clip: rect(1px 1px 1px 1px);\n",
" clip: rect(1px, 1px, 1px, 1px);\n",
@@ -522,7 +522,7 @@
" width: 1px;\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-dashed-wrapped {\n",
+ "#sk-container-id-2 div.sk-dashed-wrapped {\n",
" border: 1px dashed var(--sklearn-color-line);\n",
" margin: 0 0.4em 0.5em 0.4em;\n",
" box-sizing: border-box;\n",
@@ -530,7 +530,7 @@
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-container {\n",
+ "#sk-container-id-2 div.sk-container {\n",
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
" so we also need the `!important` here to be able to override the\n",
@@ -540,7 +540,7 @@
" position: relative;\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-text-repr-fallback {\n",
+ "#sk-container-id-2 div.sk-text-repr-fallback {\n",
" display: none;\n",
"}\n",
"\n",
@@ -556,14 +556,14 @@
"\n",
"/* Parallel-specific style estimator block */\n",
"\n",
- "#sk-container-id-7 div.sk-parallel-item::after {\n",
+ "#sk-container-id-2 div.sk-parallel-item::after {\n",
" content: \"\";\n",
" width: 100%;\n",
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
" flex-grow: 1;\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-parallel {\n",
+ "#sk-container-id-2 div.sk-parallel {\n",
" display: flex;\n",
" align-items: stretch;\n",
" justify-content: center;\n",
@@ -571,28 +571,28 @@
" position: relative;\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-parallel-item {\n",
+ "#sk-container-id-2 div.sk-parallel-item {\n",
" display: flex;\n",
" flex-direction: column;\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-parallel-item:first-child::after {\n",
+ "#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
" align-self: flex-end;\n",
" width: 50%;\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-parallel-item:last-child::after {\n",
+ "#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
" align-self: flex-start;\n",
" width: 50%;\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-parallel-item:only-child::after {\n",
+ "#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
" width: 0;\n",
"}\n",
"\n",
"/* Serial-specific style estimator block */\n",
"\n",
- "#sk-container-id-7 div.sk-serial {\n",
+ "#sk-container-id-2 div.sk-serial {\n",
" display: flex;\n",
" flex-direction: column;\n",
" align-items: center;\n",
@@ -610,14 +610,14 @@
"\n",
"/* Pipeline and ColumnTransformer style (default) */\n",
"\n",
- "#sk-container-id-7 div.sk-toggleable {\n",
+ "#sk-container-id-2 div.sk-toggleable {\n",
" /* Default theme specific background. It is overwritten whether we have a\n",
" specific estimator or a Pipeline/ColumnTransformer */\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"/* Toggleable label */\n",
- "#sk-container-id-7 label.sk-toggleable__label {\n",
+ "#sk-container-id-2 label.sk-toggleable__label {\n",
" cursor: pointer;\n",
" display: block;\n",
" width: 100%;\n",
@@ -627,7 +627,7 @@
" text-align: center;\n",
"}\n",
"\n",
- "#sk-container-id-7 label.sk-toggleable__label-arrow:before {\n",
+ "#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
" /* Arrow on the left of the label */\n",
" content: \"▸\";\n",
" float: left;\n",
@@ -635,13 +635,13 @@
" color: var(--sklearn-color-icon);\n",
"}\n",
"\n",
- "#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {\n",
+ "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"/* Toggleable content - dropdown */\n",
"\n",
- "#sk-container-id-7 div.sk-toggleable__content {\n",
+ "#sk-container-id-2 div.sk-toggleable__content {\n",
" max-height: 0;\n",
" max-width: 0;\n",
" overflow: hidden;\n",
@@ -650,12 +650,12 @@
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-toggleable__content.fitted {\n",
+ "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-toggleable__content pre {\n",
+ "#sk-container-id-2 div.sk-toggleable__content pre {\n",
" margin: 0.2em;\n",
" border-radius: 0.25em;\n",
" color: var(--sklearn-color-text);\n",
@@ -663,79 +663,79 @@
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-toggleable__content.fitted pre {\n",
+ "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
- "#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+ "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
" /* Expand drop-down */\n",
" max-height: 200px;\n",
" max-width: 100%;\n",
" overflow: auto;\n",
"}\n",
"\n",
- "#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+ "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
" content: \"▾\";\n",
"}\n",
"\n",
"/* Pipeline/ColumnTransformer-specific style */\n",
"\n",
- "#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+ "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+ "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator-specific style */\n",
"\n",
"/* Colorize estimator box */\n",
- "#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+ "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+ "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-label label.sk-toggleable__label,\n",
- "#sk-container-id-7 div.sk-label label {\n",
+ "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
+ "#sk-container-id-2 div.sk-label label {\n",
" /* The background is the default theme color */\n",
" color: var(--sklearn-color-text-on-default-background);\n",
"}\n",
"\n",
"/* On hover, darken the color of the background */\n",
- "#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {\n",
+ "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"/* Label box, darken color on hover, fitted */\n",
- "#sk-container-id-7 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+ "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator label */\n",
"\n",
- "#sk-container-id-7 div.sk-label label {\n",
+ "#sk-container-id-2 div.sk-label label {\n",
" font-family: monospace;\n",
" font-weight: bold;\n",
" display: inline-block;\n",
" line-height: 1.2em;\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-label-container {\n",
+ "#sk-container-id-2 div.sk-label-container {\n",
" text-align: center;\n",
"}\n",
"\n",
"/* Estimator-specific */\n",
- "#sk-container-id-7 div.sk-estimator {\n",
+ "#sk-container-id-2 div.sk-estimator {\n",
" font-family: monospace;\n",
" border: 1px dotted var(--sklearn-color-border-box);\n",
" border-radius: 0.25em;\n",
@@ -745,18 +745,18 @@
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-estimator.fitted {\n",
+ "#sk-container-id-2 div.sk-estimator.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"/* on hover */\n",
- "#sk-container-id-7 div.sk-estimator:hover {\n",
+ "#sk-container-id-2 div.sk-estimator:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
- "#sk-container-id-7 div.sk-estimator.fitted:hover {\n",
+ "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
@@ -843,7 +843,7 @@
"\n",
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
"\n",
- "#sk-container-id-7 a.estimator_doc_link {\n",
+ "#sk-container-id-2 a.estimator_doc_link {\n",
" float: right;\n",
" font-size: 1rem;\n",
" line-height: 1em;\n",
@@ -858,34 +858,34 @@
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
"}\n",
"\n",
- "#sk-container-id-7 a.estimator_doc_link.fitted {\n",
+ "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
- "#sk-container-id-7 a.estimator_doc_link:hover {\n",
+ "#sk-container-id-2 a.estimator_doc_link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
- "#sk-container-id-7 a.estimator_doc_link.fitted:hover {\n",
+ "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
"}\n",
- "</style><div id=\"sk-container-id-7\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('vectorizer', CountVectorizer()),\n",
- " ('classifier', MultinomialNB())])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-21\" type=\"checkbox\" ><label for=\"sk-estimator-id-21\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> Pipeline<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>Pipeline(steps=[('vectorizer', CountVectorizer()),\n",
- " ('classifier', MultinomialNB())])</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-22\" type=\"checkbox\" ><label for=\"sk-estimator-id-22\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> CountVectorizer<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html\">?<span>Documentation for CountVectorizer</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>CountVectorizer()</pre></div> </div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-23\" type=\"checkbox\" ><label for=\"sk-estimator-id-23\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> MultinomialNB<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.naive_bayes.MultinomialNB.html\">?<span>Documentation for MultinomialNB</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>MultinomialNB()</pre></div> </div></div></div></div></div></div>"
+ "</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('vectorizer', CountVectorizer()),\n",
+ " ('classifier', MultinomialNB())])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> Pipeline<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>Pipeline(steps=[('vectorizer', CountVectorizer()),\n",
+ " ('classifier', MultinomialNB())])</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> CountVectorizer<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html\">?<span>Documentation for CountVectorizer</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>CountVectorizer()</pre></div> </div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> MultinomialNB<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.naive_bayes.MultinomialNB.html\">?<span>Documentation for MultinomialNB</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>MultinomialNB()</pre></div> </div></div></div></div></div></div>"
],
"text/plain": [
"Pipeline(steps=[('vectorizer', CountVectorizer()),\n",
" ('classifier', MultinomialNB())])"
]
},
- "execution_count": 319,
+ "execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
@@ -946,7 +946,7 @@
},
{
"cell_type": "code",
- "execution_count": 320,
+ "execution_count": 38,
"metadata": {
"deletable": false,
"nbgrader": {
@@ -990,11 +990,11 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/jackkolm/Documents/TextMining/text-mining/.venv/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+ "/home/filip/projects/text-mining/l2/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
- "/Users/jackkolm/Documents/TextMining/text-mining/.venv/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+ "/home/filip/projects/text-mining/l2/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
- "/Users/jackkolm/Documents/TextMining/text-mining/.venv/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+ "/home/filip/projects/text-mining/l2/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
]
}
@@ -1020,7 +1020,7 @@
},
{
"cell_type": "code",
- "execution_count": 321,
+ "execution_count": 39,
"metadata": {
"deletable": false,
"nbgrader": {
@@ -1045,18 +1045,18 @@
"text": [
" precision recall f1-score support\n",
"\n",
- " C 0.09 0.08 0.08 671\n",
- " KD 0.10 0.07 0.08 821\n",
- " L 0.06 0.06 0.06 560\n",
- " M 0.18 0.20 0.19 1644\n",
- " MP 0.09 0.11 0.10 809\n",
- " S 0.30 0.35 0.32 2773\n",
- " SD 0.13 0.08 0.10 1060\n",
+ " C 0.08 0.08 0.08 671\n",
+ " KD 0.09 0.06 0.07 821\n",
+ " L 0.07 0.06 0.06 560\n",
+ " M 0.18 0.21 0.19 1644\n",
+ " MP 0.09 0.12 0.10 809\n",
+ " S 0.31 0.36 0.33 2773\n",
+ " SD 0.12 0.09 0.10 1060\n",
" V 0.10 0.07 0.08 950\n",
"\n",
- " accuracy 0.18 9288\n",
+ " accuracy 0.19 9288\n",
" macro avg 0.13 0.13 0.13 9288\n",
- "weighted avg 0.17 0.18 0.18 9288\n",
+ "weighted avg 0.17 0.19 0.18 9288\n",
"\n"
]
}
@@ -1089,7 +1089,7 @@
},
{
"cell_type": "code",
- "execution_count": 322,
+ "execution_count": 40,
"metadata": {
"deletable": false,
"nbgrader": {
@@ -1110,7 +1110,7 @@
"outputs": [
{
"data": {
- "image/png": "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",
+ "image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
@@ -1122,23 +1122,23 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Macro precision score against test data: 0.40694919223605797\n",
- "Macro precision score against training data: 0.9349225198554201\n",
+ "Macro precision score against test data: 0.4040544292065325\n",
+ "Macro precision score against training data: 0.9389457951775716\n",
"Classification report against test data:\n",
" precision recall f1-score support\n",
"\n",
- " C 0.27 0.45 0.34 671\n",
- " KD 0.30 0.37 0.34 821\n",
- " L 0.27 0.45 0.34 560\n",
- " M 0.37 0.52 0.43 1644\n",
- " MP 0.33 0.36 0.34 809\n",
- " S 0.85 0.26 0.40 2773\n",
+ " C 0.29 0.42 0.34 671\n",
+ " KD 0.29 0.39 0.33 821\n",
+ " L 0.26 0.45 0.33 560\n",
+ " M 0.40 0.49 0.44 1644\n",
+ " MP 0.36 0.34 0.35 809\n",
+ " S 0.80 0.31 0.44 2773\n",
" SD 0.45 0.41 0.43 1060\n",
- " V 0.40 0.53 0.46 950\n",
+ " V 0.38 0.58 0.46 950\n",
"\n",
- " accuracy 0.40 9288\n",
- " macro avg 0.41 0.42 0.39 9288\n",
- "weighted avg 0.50 0.40 0.40 9288\n",
+ " accuracy 0.41 9288\n",
+ " macro avg 0.40 0.42 0.39 9288\n",
+ "weighted avg 0.49 0.41 0.41 9288\n",
"\n"
]
}
@@ -1191,7 +1191,7 @@
},
{
"cell_type": "code",
- "execution_count": 323,
+ "execution_count": 41,
"metadata": {
"tags": [
"solution"
@@ -1200,7 +1200,7 @@
"outputs": [
{
"data": {
- "image/png": "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",
+ "image/png": "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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
@@ -1240,7 +1240,7 @@
},
{
"cell_type": "code",
- "execution_count": 324,
+ "execution_count": 42,
"metadata": {
"deletable": false,
"nbgrader": {
@@ -1262,9 +1262,9 @@
"text": [
"C is most often confused with M\n",
"KD is most often confused with M\n",
- "L is most often confused with M\n",
- "M is most often confused with C\n",
- "MP is most often confused with M\n",
+ "L is most often confused with V\n",
+ "M is most often confused with KD\n",
+ "MP is most often confused with V\n",
"S is most often confused with M\n",
"SD is most often confused with M\n",
"V is most often confused with M\n"
@@ -1316,7 +1316,7 @@
},
{
"cell_type": "code",
- "execution_count": 325,
+ "execution_count": 43,
"metadata": {},
"outputs": [
{
@@ -1350,7 +1350,7 @@
" 'classifier__force_alpha': True}"
]
},
- "execution_count": 325,
+ "execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
@@ -1376,7 +1376,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 44,
"metadata": {
"deletable": false,
"nbgrader": {
@@ -1399,53 +1399,42 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
- "Best params: {'classifier__alpha': 0.5, 'classifier__fit_prior': False, 'classifier__force_alpha': False, 'vectorizer__binary': False, 'vectorizer__max_df': 0.03, 'vectorizer__ngram_range': (1, 3)}\n",
+ "Fitting 2 folds for each of 24 candidates, totalling 48 fits\n",
+ "Best params: {'classifier__alpha': 0.5, 'classifier__fit_prior': False, 'classifier__force_alpha': False, 'vectorizer__binary': False, 'vectorizer__max_df': 0.03, 'vectorizer__min_df': 1, 'vectorizer__ngram_range': (1, 3)}\n",
"Best estimator: Pipeline(steps=[('vectorizer',\n",
" CountVectorizer(max_df=0.03, ngram_range=(1, 3))),\n",
" ('classifier',\n",
" MultinomialNB(alpha=0.5, fit_prior=False, force_alpha=False))])\n",
- "Best index: 0\n",
- "Best score: 0.5206882459032831\n",
- "0.4248860377366687\n"
+ "Best index: 1\n",
+ "Best score: 0.4843532684283728\n",
+ "0.4284141061906984\n"
]
}
],
"source": [
- "from sklearn.feature_extraction.text import TfidfVectorizer, HashingVectorizer\n",
- "from sklearn.linear_model import LogisticRegression \n",
- "from sklearn.preprocessing import StandardScaler \n",
- "from sklearn.decomposition import TruncatedSVD \n",
"from sklearn.model_selection import GridSearchCV\n",
"\n",
"\n",
- "\n",
- "\n",
"new_model_params = current_model.get_params()\n",
"mid_pipeline = Pipeline(steps=[\n",
" ('vectorizer', CountVectorizer()),\n",
" ('classifier', MultinomialNB())\n",
" ])\n",
"me_params = {\n",
- " 'vectorizer__ngram_range': [(1, 3)],\n",
+ " 'vectorizer__ngram_range': [(1, 2), (1, 3)],\n",
" 'vectorizer__max_df': [0.03],\n",
- " 'vectorizer__binary': [False],\n",
- " 'classifier__alpha': [0.5],\n",
+ " 'vectorizer__min_df' : [1, 5, 10],\n",
+ " 'vectorizer__binary': [False, True],\n",
+ " 'classifier__alpha': [0.5, 0.8],\n",
" 'classifier__fit_prior': [False],\n",
" 'classifier__force_alpha': [False],\n",
- " 'min_df' : [5]\n",
- "\n",
" }\n",
"\n",
"gs = GridSearchCV(estimator=mid_pipeline, param_grid=me_params, cv=2, n_jobs=-1, verbose=1)\n",
"gs.fit(np.array(new_train_data['words']), np.array(new_train_data['party']))\n",
"print(f'Best params: {gs.best_params_}\\nBest estimator: {gs.best_estimator_}\\nBest index: {gs.best_index_}\\nBest score: {gs.best_score_}')\n",
- "#super_pipeline = Pipeline(steps=[ ('tfidf', TfidfVectorizer()), \n",
- "# ('svd', TruncatedSVD(n_components=100)), \n",
- "# ('scaler', StandardScaler(with_mean=False)), \n",
- "# ('logreg', LogisticRegression(max_iter=1000))])\n",
- "#new_model = super_pipeline.fit(new_train_data['words'], new_train_data['party'])\n",
- "#super_pipeline.set_params([new_model_params])\n",
+ "\n",
+ "\n",
"p = gs.predict(test_X)\n",
"t = precision_score(test_Y, p, average='macro')\n",
"print(t)\n",
@@ -1521,7 +1510,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.11.0"
+ "version": "3.12.3"
}
},
"nbformat": 4,