Pushing files to the repo-gabcares/RandomForestClassifier-Sepsis from the directory- ../models/huggingface/RandomForestClassifier/
Browse files- README.md +14 -14
- RandomForestClassifier.joblib +2 -2
README.md
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| Hyperparameter | Value |
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|------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------|
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| memory | |
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| steps | [('preprocessor', ColumnTransformer(transformers=[('numerical_pipeline',<br /> Pipeline(steps=[('log_transformations',<br /> FunctionTransformer(func=<ufunc 'log1p'>)),<br /> ('imputer',<br /> SimpleImputer(strategy='median')),<br /> ('scaler', RobustScaler())]),<br /> ['prg', 'pl', 'pr', 'sk', 'ts', 'm11', 'bd2',<br /> 'age']),<br /> ('categorical_pipeline',<br /> Pipeline(steps=[('as_categorical',<br /> FunctionTransformer(func=<function as_...<br /> handle_unknown='infrequent_if_exist',<br /> sparse_output=False))]),<br /> ['insurance']),<br /> ('feature_creation_pipeline',<br /> Pipeline(steps=[('feature_creation',<br /> FunctionTransformer(func=<function feature_creation at
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| verbose | False |
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| preprocessor | ColumnTransformer(transformers=[('numerical_pipeline',<br /> Pipeline(steps=[('log_transformations',<br /> FunctionTransformer(func=<ufunc 'log1p'>)),<br /> ('imputer',<br /> SimpleImputer(strategy='median')),<br /> ('scaler', RobustScaler())]),<br /> ['prg', 'pl', 'pr', 'sk', 'ts', 'm11', 'bd2',<br /> 'age']),<br /> ('categorical_pipeline',<br /> Pipeline(steps=[('as_categorical',<br /> FunctionTransformer(func=<function as_...<br /> handle_unknown='infrequent_if_exist',<br /> sparse_output=False))]),<br /> ['insurance']),<br /> ('feature_creation_pipeline',<br /> Pipeline(steps=[('feature_creation',<br /> FunctionTransformer(func=<function feature_creation at
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| feature-selection | SelectKBest(k='all',<br /> score_func=<function mutual_info_classif at
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| classifier | RandomForestClassifier(n_jobs=-1, random_state=2024) |
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| preprocessor__force_int_remainder_cols | True |
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| preprocessor__n_jobs | |
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| preprocessor__remainder | drop |
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| preprocessor__sparse_threshold | 0.3 |
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| preprocessor__transformer_weights | |
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| preprocessor__transformers | [('numerical_pipeline', Pipeline(steps=[('log_transformations',<br /> FunctionTransformer(func=<ufunc 'log1p'>)),<br /> ('imputer', SimpleImputer(strategy='median')),<br /> ('scaler', RobustScaler())]), ['prg', 'pl', 'pr', 'sk', 'ts', 'm11', 'bd2', 'age']), ('categorical_pipeline', Pipeline(steps=[('as_categorical',<br /> FunctionTransformer(func=<function as_category at
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| preprocessor__verbose | False |
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| preprocessor__verbose_feature_names_out | True |
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| preprocessor__numerical_pipeline | Pipeline(steps=[('log_transformations',<br /> FunctionTransformer(func=<ufunc 'log1p'>)),<br /> ('imputer', SimpleImputer(strategy='median')),<br /> ('scaler', RobustScaler())]) |
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| preprocessor__categorical_pipeline | Pipeline(steps=[('as_categorical',<br /> FunctionTransformer(func=<function as_category at
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| preprocessor__feature_creation_pipeline | Pipeline(steps=[('feature_creation',<br /> FunctionTransformer(func=<function feature_creation at
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| preprocessor__numerical_pipeline__memory | |
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| preprocessor__numerical_pipeline__steps | [('log_transformations', FunctionTransformer(func=<ufunc 'log1p'>)), ('imputer', SimpleImputer(strategy='median')), ('scaler', RobustScaler())] |
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| preprocessor__numerical_pipeline__verbose | False |
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| preprocessor__numerical_pipeline__scaler__with_centering | True |
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| preprocessor__numerical_pipeline__scaler__with_scaling | True |
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| preprocessor__categorical_pipeline__memory | |
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| preprocessor__categorical_pipeline__steps | [('as_categorical', FunctionTransformer(func=<function as_category at
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| preprocessor__categorical_pipeline__verbose | False |
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| preprocessor__categorical_pipeline__as_categorical | FunctionTransformer(func=<function as_category at
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| preprocessor__categorical_pipeline__imputer | SimpleImputer(strategy='most_frequent') |
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| preprocessor__categorical_pipeline__encoder | OneHotEncoder(drop='first', handle_unknown='infrequent_if_exist',<br /> sparse_output=False) |
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| preprocessor__categorical_pipeline__as_categorical__accept_sparse | False |
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| preprocessor__categorical_pipeline__as_categorical__check_inverse | True |
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| preprocessor__categorical_pipeline__as_categorical__feature_names_out | |
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| preprocessor__categorical_pipeline__as_categorical__func | <function as_category at
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| preprocessor__categorical_pipeline__as_categorical__inv_kw_args | |
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| preprocessor__categorical_pipeline__as_categorical__inverse_func | |
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| preprocessor__categorical_pipeline__as_categorical__kw_args | |
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| preprocessor__categorical_pipeline__encoder__min_frequency | |
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| preprocessor__categorical_pipeline__encoder__sparse_output | False |
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| preprocessor__feature_creation_pipeline__memory | |
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| preprocessor__feature_creation_pipeline__steps | [('feature_creation', FunctionTransformer(func=<function feature_creation at
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| preprocessor__feature_creation_pipeline__verbose | False |
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| preprocessor__feature_creation_pipeline__feature_creation | FunctionTransformer(func=<function feature_creation at
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| preprocessor__feature_creation_pipeline__imputer | SimpleImputer(strategy='most_frequent') |
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| preprocessor__feature_creation_pipeline__encoder | OneHotEncoder(drop='first', handle_unknown='infrequent_if_exist',<br /> sparse_output=False) |
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| preprocessor__feature_creation_pipeline__feature_creation__accept_sparse | False |
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| preprocessor__feature_creation_pipeline__feature_creation__check_inverse | True |
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| preprocessor__feature_creation_pipeline__feature_creation__feature_names_out | |
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| preprocessor__feature_creation_pipeline__feature_creation__func | <function feature_creation at
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| preprocessor__feature_creation_pipeline__feature_creation__inv_kw_args | |
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| preprocessor__feature_creation_pipeline__feature_creation__inverse_func | |
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| preprocessor__feature_creation_pipeline__feature_creation__kw_args | |
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| preprocessor__feature_creation_pipeline__encoder__min_frequency | |
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| preprocessor__feature_creation_pipeline__encoder__sparse_output | False |
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| feature-selection__k | all |
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| feature-selection__score_func | <function mutual_info_classif at
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| classifier__bootstrap | True |
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| classifier__ccp_alpha | 0.0 |
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| classifier__class_weight | |
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#sk-container-id-7 a.estimator_doc_link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
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}#sk-container-id-7 a.estimator_doc_link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);
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}
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-
</style><div id="sk-container-id-7" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[('preprocessor',ColumnTransformer(transformers=[('numerical_pipeline',Pipeline(steps=[('log_transformations',FunctionTransformer(func=<ufunc 'log1p'>)),('imputer',SimpleImputer(strategy='median')),('scaler',RobustScaler())]),['prg', 'pl', 'pr', 'sk','ts', 'm11', 'bd2', 'age']),('categorical_pipeline',Pipeline(steps=[('as_categorical',Funct...FunctionTransformer(func=<function feature_creation at 0x0000025B889134C0>)),('imputer',SimpleImputer(strategy='most_frequent')),('encoder',OneHotEncoder(drop='first',handle_unknown='infrequent_if_exist',sparse_output=False))]),['age'])])),('feature-selection',SelectKBest(k='all',score_func=<function mutual_info_classif at 0x0000025B81CA7920>)),('classifier',RandomForestClassifier(n_jobs=-1, random_state=2024))])</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-58" type="checkbox" ><label for="sk-estimator-id-58" 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=[('preprocessor',ColumnTransformer(transformers=[('numerical_pipeline',Pipeline(steps=[('log_transformations',FunctionTransformer(func=<ufunc 'log1p'>)),('imputer',SimpleImputer(strategy='median')),('scaler',RobustScaler())]),['prg', 'pl', 'pr', 'sk','ts', 'm11', 'bd2', 'age']),('categorical_pipeline',Pipeline(steps=[('as_categorical',Funct...FunctionTransformer(func=<function feature_creation at 0x0000025B889134C0>)),('imputer',SimpleImputer(strategy='most_frequent')),('encoder',OneHotEncoder(drop='first',handle_unknown='infrequent_if_exist',sparse_output=False))]),['age'])])),('feature-selection',SelectKBest(k='all',score_func=<function mutual_info_classif at 0x0000025B81CA7920>)),('classifier',RandomForestClassifier(n_jobs=-1, random_state=2024))])</pre></div> </div></div><div class="sk-serial"><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-59" type="checkbox" ><label for="sk-estimator-id-59" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> preprocessor: ColumnTransformer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.compose.ColumnTransformer.html">?<span>Documentation for preprocessor: ColumnTransformer</span></a></label><div class="sk-toggleable__content fitted"><pre>ColumnTransformer(transformers=[('numerical_pipeline',Pipeline(steps=[('log_transformations',FunctionTransformer(func=<ufunc 'log1p'>)),('imputer',SimpleImputer(strategy='median')),('scaler', RobustScaler())]),['prg', 'pl', 'pr', 'sk', 'ts', 'm11', 'bd2','age']),('categorical_pipeline',Pipeline(steps=[('as_categorical',FunctionTransformer(func=<function as_...handle_unknown='infrequent_if_exist',sparse_output=False))]),['insurance']),('feature_creation_pipeline',Pipeline(steps=[('feature_creation',FunctionTransformer(func=<function feature_creation at 0x0000025B889134C0>)),('imputer',SimpleImputer(strategy='most_frequent')),('encoder',OneHotEncoder(drop='first',handle_unknown='infrequent_if_exist',sparse_output=False))]),['age'])])</pre></div> </div></div><div class="sk-parallel"><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-60" type="checkbox" ><label for="sk-estimator-id-60" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">numerical_pipeline</label><div class="sk-toggleable__content fitted"><pre>['prg', 'pl', 'pr', 'sk', 'ts', 'm11', 'bd2', 'age']</pre></div> </div></div><div class="sk-serial"><div class="sk-item"><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-61" type="checkbox" ><label for="sk-estimator-id-61" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> FunctionTransformer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.FunctionTransformer.html">?<span>Documentation for FunctionTransformer</span></a></label><div class="sk-toggleable__content fitted"><pre>FunctionTransformer(func=<ufunc 'log1p'>)</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-62" type="checkbox" ><label for="sk-estimator-id-62" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> SimpleImputer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.impute.SimpleImputer.html">?<span>Documentation for SimpleImputer</span></a></label><div class="sk-toggleable__content fitted"><pre>SimpleImputer(strategy='median')</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-63" type="checkbox" ><label for="sk-estimator-id-63" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> RobustScaler<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.RobustScaler.html">?<span>Documentation for RobustScaler</span></a></label><div class="sk-toggleable__content fitted"><pre>RobustScaler()</pre></div> </div></div></div></div></div></div></div><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-64" type="checkbox" ><label for="sk-estimator-id-64" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">categorical_pipeline</label><div class="sk-toggleable__content fitted"><pre>['insurance']</pre></div> </div></div><div class="sk-serial"><div class="sk-item"><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-65" type="checkbox" ><label for="sk-estimator-id-65" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> FunctionTransformer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.FunctionTransformer.html">?<span>Documentation for FunctionTransformer</span></a></label><div class="sk-toggleable__content fitted"><pre>FunctionTransformer(func=<function as_category at 0x0000025B88910220>)</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-66" type="checkbox" ><label for="sk-estimator-id-66" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> SimpleImputer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.impute.SimpleImputer.html">?<span>Documentation for SimpleImputer</span></a></label><div class="sk-toggleable__content fitted"><pre>SimpleImputer(strategy='most_frequent')</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-67" type="checkbox" ><label for="sk-estimator-id-67" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> OneHotEncoder<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.OneHotEncoder.html">?<span>Documentation for OneHotEncoder</span></a></label><div class="sk-toggleable__content fitted"><pre>OneHotEncoder(drop='first', handle_unknown='infrequent_if_exist',sparse_output=False)</pre></div> </div></div></div></div></div></div></div><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-68" type="checkbox" ><label for="sk-estimator-id-68" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">feature_creation_pipeline</label><div class="sk-toggleable__content fitted"><pre>['age']</pre></div> </div></div><div class="sk-serial"><div class="sk-item"><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-69" type="checkbox" ><label for="sk-estimator-id-69" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> FunctionTransformer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.FunctionTransformer.html">?<span>Documentation for FunctionTransformer</span></a></label><div class="sk-toggleable__content fitted"><pre>FunctionTransformer(func=<function feature_creation at 0x0000025B889134C0>)</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-70" type="checkbox" ><label for="sk-estimator-id-70" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> SimpleImputer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.impute.SimpleImputer.html">?<span>Documentation for SimpleImputer</span></a></label><div class="sk-toggleable__content fitted"><pre>SimpleImputer(strategy='most_frequent')</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-71" type="checkbox" ><label for="sk-estimator-id-71" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> OneHotEncoder<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.OneHotEncoder.html">?<span>Documentation for OneHotEncoder</span></a></label><div class="sk-toggleable__content fitted"><pre>OneHotEncoder(drop='first', handle_unknown='infrequent_if_exist',sparse_output=False)</pre></div> </div></div></div></div></div></div></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-72" type="checkbox" ><label for="sk-estimator-id-72" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> SelectKBest<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.feature_selection.SelectKBest.html">?<span>Documentation for SelectKBest</span></a></label><div class="sk-toggleable__content fitted"><pre>SelectKBest(k='all',score_func=<function mutual_info_classif at 0x0000025B81CA7920>)</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-73" type="checkbox" ><label for="sk-estimator-id-73" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> RandomForestClassifier<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestClassifier.html">?<span>Documentation for RandomForestClassifier</span></a></label><div class="sk-toggleable__content fitted"><pre>RandomForestClassifier(n_jobs=-1, random_state=2024)</pre></div> </div></div></div></div></div></div>
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## Evaluation Results
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| Hyperparameter | Value |
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|------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------|
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| memory | |
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| steps | [('preprocessor', ColumnTransformer(transformers=[('numerical_pipeline',<br /> Pipeline(steps=[('log_transformations',<br /> FunctionTransformer(func=<ufunc 'log1p'>)),<br /> ('imputer',<br /> SimpleImputer(strategy='median')),<br /> ('scaler', RobustScaler())]),<br /> ['prg', 'pl', 'pr', 'sk', 'ts', 'm11', 'bd2',<br /> 'age']),<br /> ('categorical_pipeline',<br /> Pipeline(steps=[('as_categorical',<br /> FunctionTransformer(func=<function as_...<br /> handle_unknown='infrequent_if_exist',<br /> sparse_output=False))]),<br /> ['insurance']),<br /> ('feature_creation_pipeline',<br /> Pipeline(steps=[('feature_creation',<br /> FunctionTransformer(func=<function feature_creation at 0x00000147012327A0>)),<br /> ('imputer',<br /> SimpleImputer(strategy='most_frequent')),<br /> ('encoder',<br /> OneHotEncoder(drop='first',<br /> handle_unknown='infrequent_if_exist',<br /> sparse_output=False))]),<br /> ['age'])])), ('feature-selection', SelectKBest(k='all',<br /> score_func=<function mutual_info_classif at 0x000001470129BA60>)), ('classifier', RandomForestClassifier(n_jobs=-1, random_state=2024))] |
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| verbose | False |
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| preprocessor | ColumnTransformer(transformers=[('numerical_pipeline',<br /> Pipeline(steps=[('log_transformations',<br /> FunctionTransformer(func=<ufunc 'log1p'>)),<br /> ('imputer',<br /> SimpleImputer(strategy='median')),<br /> ('scaler', RobustScaler())]),<br /> ['prg', 'pl', 'pr', 'sk', 'ts', 'm11', 'bd2',<br /> 'age']),<br /> ('categorical_pipeline',<br /> Pipeline(steps=[('as_categorical',<br /> FunctionTransformer(func=<function as_...<br /> handle_unknown='infrequent_if_exist',<br /> sparse_output=False))]),<br /> ['insurance']),<br /> ('feature_creation_pipeline',<br /> Pipeline(steps=[('feature_creation',<br /> FunctionTransformer(func=<function feature_creation at 0x00000147012327A0>)),<br /> ('imputer',<br /> SimpleImputer(strategy='most_frequent')),<br /> ('encoder',<br /> OneHotEncoder(drop='first',<br /> handle_unknown='infrequent_if_exist',<br /> sparse_output=False))]),<br /> ['age'])]) |
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| feature-selection | SelectKBest(k='all',<br /> score_func=<function mutual_info_classif at 0x000001470129BA60>) |
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| classifier | RandomForestClassifier(n_jobs=-1, random_state=2024) |
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| preprocessor__force_int_remainder_cols | True |
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| preprocessor__n_jobs | |
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| preprocessor__remainder | drop |
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| preprocessor__sparse_threshold | 0.3 |
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| preprocessor__transformer_weights | |
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| preprocessor__transformers | [('numerical_pipeline', Pipeline(steps=[('log_transformations',<br /> FunctionTransformer(func=<ufunc 'log1p'>)),<br /> ('imputer', SimpleImputer(strategy='median')),<br /> ('scaler', RobustScaler())]), ['prg', 'pl', 'pr', 'sk', 'ts', 'm11', 'bd2', 'age']), ('categorical_pipeline', Pipeline(steps=[('as_categorical',<br /> FunctionTransformer(func=<function as_category at 0x0000014701232160>)),<br /> ('imputer', SimpleImputer(strategy='most_frequent')),<br /> ('encoder',<br /> OneHotEncoder(drop='first',<br /> handle_unknown='infrequent_if_exist',<br /> sparse_output=False))]), ['insurance']), ('feature_creation_pipeline', Pipeline(steps=[('feature_creation',<br /> FunctionTransformer(func=<function feature_creation at 0x00000147012327A0>)),<br /> ('imputer', SimpleImputer(strategy='most_frequent')),<br /> ('encoder',<br /> OneHotEncoder(drop='first',<br /> handle_unknown='infrequent_if_exist',<br /> sparse_output=False))]), ['age'])] |
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| preprocessor__verbose | False |
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| preprocessor__verbose_feature_names_out | True |
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| preprocessor__numerical_pipeline | Pipeline(steps=[('log_transformations',<br /> FunctionTransformer(func=<ufunc 'log1p'>)),<br /> ('imputer', SimpleImputer(strategy='median')),<br /> ('scaler', RobustScaler())]) |
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| preprocessor__categorical_pipeline | Pipeline(steps=[('as_categorical',<br /> FunctionTransformer(func=<function as_category at 0x0000014701232160>)),<br /> ('imputer', SimpleImputer(strategy='most_frequent')),<br /> ('encoder',<br /> OneHotEncoder(drop='first',<br /> handle_unknown='infrequent_if_exist',<br /> sparse_output=False))]) |
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| preprocessor__feature_creation_pipeline | Pipeline(steps=[('feature_creation',<br /> FunctionTransformer(func=<function feature_creation at 0x00000147012327A0>)),<br /> ('imputer', SimpleImputer(strategy='most_frequent')),<br /> ('encoder',<br /> OneHotEncoder(drop='first',<br /> handle_unknown='infrequent_if_exist',<br /> sparse_output=False))]) |
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| preprocessor__numerical_pipeline__memory | |
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| preprocessor__numerical_pipeline__steps | [('log_transformations', FunctionTransformer(func=<ufunc 'log1p'>)), ('imputer', SimpleImputer(strategy='median')), ('scaler', RobustScaler())] |
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| preprocessor__numerical_pipeline__verbose | False |
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| preprocessor__numerical_pipeline__scaler__with_centering | True |
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| preprocessor__numerical_pipeline__scaler__with_scaling | True |
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| preprocessor__categorical_pipeline__memory | |
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| preprocessor__categorical_pipeline__steps | [('as_categorical', FunctionTransformer(func=<function as_category at 0x0000014701232160>)), ('imputer', SimpleImputer(strategy='most_frequent')), ('encoder', OneHotEncoder(drop='first', handle_unknown='infrequent_if_exist',<br /> sparse_output=False))] |
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| preprocessor__categorical_pipeline__verbose | False |
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| preprocessor__categorical_pipeline__as_categorical | FunctionTransformer(func=<function as_category at 0x0000014701232160>) |
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| preprocessor__categorical_pipeline__imputer | SimpleImputer(strategy='most_frequent') |
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| preprocessor__categorical_pipeline__encoder | OneHotEncoder(drop='first', handle_unknown='infrequent_if_exist',<br /> sparse_output=False) |
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| preprocessor__categorical_pipeline__as_categorical__accept_sparse | False |
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| preprocessor__categorical_pipeline__as_categorical__check_inverse | True |
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| preprocessor__categorical_pipeline__as_categorical__feature_names_out | |
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| preprocessor__categorical_pipeline__as_categorical__func | <function as_category at 0x0000014701232160> |
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| preprocessor__categorical_pipeline__as_categorical__inv_kw_args | |
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| preprocessor__categorical_pipeline__as_categorical__inverse_func | |
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| preprocessor__categorical_pipeline__as_categorical__kw_args | |
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| preprocessor__categorical_pipeline__encoder__min_frequency | |
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| preprocessor__categorical_pipeline__encoder__sparse_output | False |
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| preprocessor__feature_creation_pipeline__memory | |
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| preprocessor__feature_creation_pipeline__steps | [('feature_creation', FunctionTransformer(func=<function feature_creation at 0x00000147012327A0>)), ('imputer', SimpleImputer(strategy='most_frequent')), ('encoder', OneHotEncoder(drop='first', handle_unknown='infrequent_if_exist',<br /> sparse_output=False))] |
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| preprocessor__feature_creation_pipeline__verbose | False |
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| preprocessor__feature_creation_pipeline__feature_creation | FunctionTransformer(func=<function feature_creation at 0x00000147012327A0>) |
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| preprocessor__feature_creation_pipeline__imputer | SimpleImputer(strategy='most_frequent') |
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| preprocessor__feature_creation_pipeline__encoder | OneHotEncoder(drop='first', handle_unknown='infrequent_if_exist',<br /> sparse_output=False) |
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| preprocessor__feature_creation_pipeline__feature_creation__accept_sparse | False |
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| preprocessor__feature_creation_pipeline__feature_creation__check_inverse | True |
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| preprocessor__feature_creation_pipeline__feature_creation__feature_names_out | |
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| preprocessor__feature_creation_pipeline__feature_creation__func | <function feature_creation at 0x00000147012327A0> |
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| preprocessor__feature_creation_pipeline__feature_creation__inv_kw_args | |
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| preprocessor__feature_creation_pipeline__feature_creation__inverse_func | |
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| preprocessor__feature_creation_pipeline__feature_creation__kw_args | |
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| 173 |
| preprocessor__feature_creation_pipeline__encoder__min_frequency | |
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| preprocessor__feature_creation_pipeline__encoder__sparse_output | False |
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| 175 |
| feature-selection__k | all |
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| 176 |
+
| feature-selection__score_func | <function mutual_info_classif at 0x000001470129BA60> |
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| classifier__bootstrap | True |
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| 178 |
| classifier__ccp_alpha | 0.0 |
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| classifier__class_weight | |
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| 274 |
#sk-container-id-7 a.estimator_doc_link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
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}#sk-container-id-7 a.estimator_doc_link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);
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| 276 |
}
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| 277 |
+
</style><div id="sk-container-id-7" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[('preprocessor',ColumnTransformer(transformers=[('numerical_pipeline',Pipeline(steps=[('log_transformations',FunctionTransformer(func=<ufunc 'log1p'>)),('imputer',SimpleImputer(strategy='median')),('scaler',RobustScaler())]),['prg', 'pl', 'pr', 'sk','ts', 'm11', 'bd2', 'age']),('categorical_pipeline',Pipeline(steps=[('as_categorical',Funct...FunctionTransformer(func=<function feature_creation at 0x00000147012327A0>)),('imputer',SimpleImputer(strategy='most_frequent')),('encoder',OneHotEncoder(drop='first',handle_unknown='infrequent_if_exist',sparse_output=False))]),['age'])])),('feature-selection',SelectKBest(k='all',score_func=<function mutual_info_classif at 0x000001470129BA60>)),('classifier',RandomForestClassifier(n_jobs=-1, random_state=2024))])</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-58" type="checkbox" ><label for="sk-estimator-id-58" 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=[('preprocessor',ColumnTransformer(transformers=[('numerical_pipeline',Pipeline(steps=[('log_transformations',FunctionTransformer(func=<ufunc 'log1p'>)),('imputer',SimpleImputer(strategy='median')),('scaler',RobustScaler())]),['prg', 'pl', 'pr', 'sk','ts', 'm11', 'bd2', 'age']),('categorical_pipeline',Pipeline(steps=[('as_categorical',Funct...FunctionTransformer(func=<function feature_creation at 0x00000147012327A0>)),('imputer',SimpleImputer(strategy='most_frequent')),('encoder',OneHotEncoder(drop='first',handle_unknown='infrequent_if_exist',sparse_output=False))]),['age'])])),('feature-selection',SelectKBest(k='all',score_func=<function mutual_info_classif at 0x000001470129BA60>)),('classifier',RandomForestClassifier(n_jobs=-1, random_state=2024))])</pre></div> </div></div><div class="sk-serial"><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-59" type="checkbox" ><label for="sk-estimator-id-59" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> preprocessor: ColumnTransformer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.compose.ColumnTransformer.html">?<span>Documentation for preprocessor: ColumnTransformer</span></a></label><div class="sk-toggleable__content fitted"><pre>ColumnTransformer(transformers=[('numerical_pipeline',Pipeline(steps=[('log_transformations',FunctionTransformer(func=<ufunc 'log1p'>)),('imputer',SimpleImputer(strategy='median')),('scaler', RobustScaler())]),['prg', 'pl', 'pr', 'sk', 'ts', 'm11', 'bd2','age']),('categorical_pipeline',Pipeline(steps=[('as_categorical',FunctionTransformer(func=<function as_...handle_unknown='infrequent_if_exist',sparse_output=False))]),['insurance']),('feature_creation_pipeline',Pipeline(steps=[('feature_creation',FunctionTransformer(func=<function feature_creation at 0x00000147012327A0>)),('imputer',SimpleImputer(strategy='most_frequent')),('encoder',OneHotEncoder(drop='first',handle_unknown='infrequent_if_exist',sparse_output=False))]),['age'])])</pre></div> </div></div><div class="sk-parallel"><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-60" type="checkbox" ><label for="sk-estimator-id-60" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">numerical_pipeline</label><div class="sk-toggleable__content fitted"><pre>['prg', 'pl', 'pr', 'sk', 'ts', 'm11', 'bd2', 'age']</pre></div> </div></div><div class="sk-serial"><div class="sk-item"><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-61" type="checkbox" ><label for="sk-estimator-id-61" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> FunctionTransformer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.FunctionTransformer.html">?<span>Documentation for FunctionTransformer</span></a></label><div class="sk-toggleable__content fitted"><pre>FunctionTransformer(func=<ufunc 'log1p'>)</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-62" type="checkbox" ><label for="sk-estimator-id-62" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> SimpleImputer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.impute.SimpleImputer.html">?<span>Documentation for SimpleImputer</span></a></label><div class="sk-toggleable__content fitted"><pre>SimpleImputer(strategy='median')</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-63" type="checkbox" ><label for="sk-estimator-id-63" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> RobustScaler<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.RobustScaler.html">?<span>Documentation for RobustScaler</span></a></label><div class="sk-toggleable__content fitted"><pre>RobustScaler()</pre></div> </div></div></div></div></div></div></div><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-64" type="checkbox" ><label for="sk-estimator-id-64" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">categorical_pipeline</label><div class="sk-toggleable__content fitted"><pre>['insurance']</pre></div> </div></div><div class="sk-serial"><div class="sk-item"><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-65" type="checkbox" ><label for="sk-estimator-id-65" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> FunctionTransformer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.FunctionTransformer.html">?<span>Documentation for FunctionTransformer</span></a></label><div class="sk-toggleable__content fitted"><pre>FunctionTransformer(func=<function as_category at 0x0000014701232160>)</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-66" type="checkbox" ><label for="sk-estimator-id-66" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> SimpleImputer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.impute.SimpleImputer.html">?<span>Documentation for SimpleImputer</span></a></label><div class="sk-toggleable__content fitted"><pre>SimpleImputer(strategy='most_frequent')</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-67" type="checkbox" ><label for="sk-estimator-id-67" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> OneHotEncoder<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.OneHotEncoder.html">?<span>Documentation for OneHotEncoder</span></a></label><div class="sk-toggleable__content fitted"><pre>OneHotEncoder(drop='first', handle_unknown='infrequent_if_exist',sparse_output=False)</pre></div> </div></div></div></div></div></div></div><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-68" type="checkbox" ><label for="sk-estimator-id-68" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">feature_creation_pipeline</label><div class="sk-toggleable__content fitted"><pre>['age']</pre></div> </div></div><div class="sk-serial"><div class="sk-item"><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-69" type="checkbox" ><label for="sk-estimator-id-69" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> FunctionTransformer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.FunctionTransformer.html">?<span>Documentation for FunctionTransformer</span></a></label><div class="sk-toggleable__content fitted"><pre>FunctionTransformer(func=<function feature_creation at 0x00000147012327A0>)</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-70" type="checkbox" ><label for="sk-estimator-id-70" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> SimpleImputer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.impute.SimpleImputer.html">?<span>Documentation for SimpleImputer</span></a></label><div class="sk-toggleable__content fitted"><pre>SimpleImputer(strategy='most_frequent')</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-71" type="checkbox" ><label for="sk-estimator-id-71" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> OneHotEncoder<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.OneHotEncoder.html">?<span>Documentation for OneHotEncoder</span></a></label><div class="sk-toggleable__content fitted"><pre>OneHotEncoder(drop='first', handle_unknown='infrequent_if_exist',sparse_output=False)</pre></div> </div></div></div></div></div></div></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-72" type="checkbox" ><label for="sk-estimator-id-72" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> SelectKBest<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.feature_selection.SelectKBest.html">?<span>Documentation for SelectKBest</span></a></label><div class="sk-toggleable__content fitted"><pre>SelectKBest(k='all',score_func=<function mutual_info_classif at 0x000001470129BA60>)</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-73" type="checkbox" ><label for="sk-estimator-id-73" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> RandomForestClassifier<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestClassifier.html">?<span>Documentation for RandomForestClassifier</span></a></label><div class="sk-toggleable__content fitted"><pre>RandomForestClassifier(n_jobs=-1, random_state=2024)</pre></div> </div></div></div></div></div></div>
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## Evaluation Results
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| 280 |
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RandomForestClassifier.joblib
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