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--- |
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library_name: sklearn |
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tags: |
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- sklearn |
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- skops |
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- tabular-classification |
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model_format: pickle |
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model_file: model.pkl |
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widget: |
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- structuredData: |
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x0: |
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- -0.09392700711129204 |
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- 2.371755361225434 |
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- 0.9671947566078468 |
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x1: |
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- 1.6715939059930913 |
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- 1.0187539498438483 |
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- 0.31581839557288527 |
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x10: |
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- 1.974051683532626 |
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- 0.5529279014966972 |
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- 1.4204609635013674 |
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x11: |
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- 0.2611945709034309 |
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- 0.6196937299076192 |
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- 1.190400503805864 |
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x12: |
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- -0.10332312980738237 |
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- -1.5650628809571772 |
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- -1.519967717751437 |
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x13: |
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- -0.19920098627926822 |
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- 0.5095640242994445 |
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- -0.3729003029693749 |
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x14: |
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- 0.6242153953856313 |
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- -1.0186442123275312 |
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- -3.0604199544158504 |
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x15: |
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- -0.8808380741451728 |
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- -1.2523426524049155 |
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- -0.7973581049651146 |
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x16: |
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- 1.0661014648120772 |
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- 0.028663896855952335 |
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- 1.3294361695442827 |
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x17: |
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- -0.16809563986134812 |
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- 1.5728684096371472 |
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- 2.403793617769665 |
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x18: |
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- -0.40971494857613056 |
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- -2.0685626995449002 |
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- -2.6352772611427193 |
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x19: |
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- -0.48150986525698813 |
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- 1.2364168667276738 |
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- 2.180976940508645 |
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x2: |
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- -0.6858149404655255 |
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- -2.5704433172483783 |
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- -0.2805726481338807 |
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x3: |
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- -0.9938521434003649 |
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- 0.004948433682649548 |
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- 0.12386186534436842 |
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x4: |
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- -1.5351676597000408 |
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- -0.06686764679970754 |
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- -1.1398384472701109 |
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x5: |
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- 0.05599600888975593 |
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- 0.7388591828858628 |
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- -0.014210997630448757 |
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x6: |
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- -0.14538476476312687 |
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- 0.954051151587725 |
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- 1.4942788646796958 |
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x7: |
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- 1.705729977752746 |
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- 0.45072299069455823 |
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- -0.27356356357396394 |
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x8: |
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- 0.6083980206344903 |
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- 0.500745387789729 |
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- -0.13961381253754068 |
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x9: |
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- 0.3675427037708833 |
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- -0.19653609210222556 |
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- -2.081336638897732 |
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--- |
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# Model description |
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[More Information Needed] |
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## Intended uses & limitations |
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[More Information Needed] |
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## Training Procedure |
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[More Information Needed] |
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### Hyperparameters |
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<details> |
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<summary> Click to expand </summary> |
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| Hyperparameter | Value | |
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|--------------------------|---------| |
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| ccp_alpha | 0.0 | |
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| class_weight | | |
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| criterion | gini | |
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| max_depth | | |
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| max_features | | |
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| max_leaf_nodes | | |
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| min_impurity_decrease | 0.0 | |
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| min_samples_leaf | 1 | |
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| min_samples_split | 2 | |
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| min_weight_fraction_leaf | 0.0 | |
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| random_state | | |
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| splitter | best | |
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</details> |
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### Model Plot |
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<style>#sk-container-id-5 {color: black;background-color: white;}#sk-container-id-5 pre{padding: 0;}#sk-container-id-5 div.sk-toggleable {background-color: white;}#sk-container-id-5 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-5 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-5 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-5 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-5 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-5 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-5 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-5 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-5 div.sk-item {position: relative;z-index: 1;}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-5 div.sk-item::before, #sk-container-id-5 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-5 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-5 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-5 div.sk-label-container {text-align: center;}#sk-container-id-5 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-5 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-5" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>DecisionTreeClassifier()</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"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-5" type="checkbox" checked><label for="sk-estimator-id-5" class="sk-toggleable__label sk-toggleable__label-arrow">DecisionTreeClassifier</label><div class="sk-toggleable__content"><pre>DecisionTreeClassifier()</pre></div></div></div></div></div> |
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## Evaluation Results |
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[More Information Needed] |
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# How to Get Started with the Model |
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[More Information Needed] |
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# Model Card Authors |
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This model card is written by following authors: |
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[More Information Needed] |
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# Model Card Contact |
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You can contact the model card authors through following channels: |
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[More Information Needed] |
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# Citation |
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Below you can find information related to citation. |
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**BibTeX:** |
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``` |
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[More Information Needed] |
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``` |
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