commons-codec

[amir9979]

skip

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best params: {'alpha': 0.001, 'loss': 'log', 'penalty': None} {"model": "SGDClassifier", "score": "0.043"}

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best params: {'C': 0.1, 'max_iter': 1000, 'penalty': 'l1', 'solver': 'liblinear', 'tol': 0.01, 'warm_start': False} {"model": "LogisticRegression", "score": "0.194"}

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best params: {'alpha': 10, 'binarize': 0.0, 'class_prior': None, 'fit_prior': True} {"model": "BernoulliNB", "score": "0.222"}

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best params: {'max_depth': 5, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10} {"model": "DecisionTreeClassifier", "score": "0.543"}

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best params: {'base_estimator': None, 'cv': None, 'method': 'sigmoid'} {"model": "CalibratedClassifierCV", "score": "0.050"}

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best params: {'ccp_alpha': 0.0, 'class_weight': None, 'criterion': 'gini', 'max_depth': None, 'max_features': 10, 'max_leaf_nodes': None, 'min_impurity_decrease': 0.0, 'min_impurity_split': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'min_weight_fraction_leaf': 0.0, 'presort': 'deprecated', 'random_state': None, 'splitter': 'best'} {"model": "DecisionTreeClassifier", "score": "0.304"}

[github-actions[bot]]

best params: {'base_estimator': None, 'bootstrap': True, 'bootstrap_features': False, 'max_features': 5, 'max_samples': 1.0, 'n_estimators': 10, 'n_jobs': None, 'oob_score': False, 'random_state': None, 'verbose': 0, 'warm_start': True} {"model": "BaggingClassifier", "score": "0.053"}

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best params: {'constant': None, 'random_state': None, 'strategy': 'warn'} {"model": "DummyClassifier", "score": "0.043"}

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best params: {'priors': None, 'var_smoothing': 1e-09} {"model": "GaussianNB", "score": "0.543"}

[github-actions[bot]]

best params: {'ccp_alpha': 0.0, 'class_weight': None, 'criterion': 'gini', 'max_depth': None, 'max_features': 10, 'max_leaf_nodes': None, 'min_impurity_decrease': 0.0, 'min_impurity_split': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'splitter': 'random'} {"model": "ExtraTreeClassifier", "score": "0.197"}

[github-actions[bot]]

best params: {'copy_X_train': True, 'kernel': None, 'max_iter_predict': 100, 'multi_class': 'one_vs_rest', 'n_jobs': None, 'n_restarts_optimizer': 0, 'optimizer': 'fmin_l_bfgs_b', 'random_state': None, 'warm_start': False} {"model": "GaussianProcessClassifier", "score": "0.543"}

[github-actions[bot]]

best params: {'n_components': None, 'priors': None, 'shrinkage': None, 'solver': 'svd', 'store_covariance': False, 'tol': 0.01} {"model": "LinearDiscriminantAnalysis", "score": "0.543"}

[github-actions[bot]]

best params: {'priors': None, 'reg_param': 0.0, 'store_covariance': False, 'tol': 0.0001} {"model": "QuadraticDiscriminantAnalysis", "score": "0.543"}

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best params: {'activation': 'tanh', 'batch_size': 'auto', 'early_stopping': True, 'hidden_layer_sizes': (32, 64), 'learning_rate': 'invscaling', 'max_iter': 500} {"model": "MLPClassifier", "score": "0.084"}

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best params: {'copy_X_train': True, 'kernel': None, 'max_iter_predict': 100, 'n_restarts_optimizer': 0, 'optimizer': 'fmin_l_bfgs_b', 'random_state': None, 'warm_start': False} {"model": "_BinaryGaussianProcessClassifierLaplace", "score": "0.543"}

[github-actions[bot]]

best params: {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 10} {"model": "ExtraTreesClassifier", "score": "0.141"}

[github-actions[bot]]

best params: {'max_depth': 5, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 2} {"model": "RandomForestClassifier", "score": "0.157"}

[github-actions[bot]]

best params: {'C': 1, 'class_weight': None, 'dual': False, 'fit_intercept': True, 'intercept_scaling': 1, 'l1_ratio': None, 'max_iter': 100, 'multi_class': 'auto', 'n_jobs': None, 'penalty': 'l1', 'random_state': None, 'solver': 'liblinear', 'tol': 0.01, 'verbose': 0, 'warm_start': False} {"model": "LogisticRegression", "score": "0.224"}

[github-actions[bot]]

best params: {'Cs': 10, 'class_weight': None, 'cv': None, 'dual': False, 'fit_intercept': True, 'intercept_scaling': 1.0, 'l1_ratios': None, 'max_iter': 100, 'multi_class': 'auto', 'n_jobs': None, 'penalty': 'l1', 'random_state': None, 'refit': True, 'scoring': None, 'solver': 'liblinear', 'tol': 0.01, 'verbose': 0} {"model": "LogisticRegressionCV", "score": "0.543"}

[github-actions[bot]]

best params: {'leaf_size': 1, 'metric': 'euclidean', 'outlier_label': -1, 'p': 1, 'radius': 10, 'weights': 'uniform'} {"model": "RadiusNeighborsClassifier", "score": "0.543"}

[github-actions[bot]]

best params: {'leaf_size': 1, 'metric': 'hamming', 'n_neighbors': 20, 'p': 1, 'weights': 'uniform'} {"model": "KNeighborsClassifier", "score": "0.543"}

[github-actions[bot]]

best params: {'bootstrap': False, 'ccp_alpha': 0.0, 'class_weight': None, 'criterion': 'gini', 'max_depth': None, 'max_features': 'log2', 'max_leaf_nodes': None, 'max_samples': None, 'min_impurity_decrease': 0.0, 'min_impurity_split': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'min_weight_fraction_leaf': 0.0, 'n_estimators': 10, 'n_jobs': None, 'oob_score': False, 'random_state': None, 'verbose': 0, 'warm_start': True} {"model": "ExtraTreesClassifier", "score": "0.123"}

[github-actions[bot]]

best params: {'bootstrap': True, 'ccp_alpha': 0.0, 'class_weight': None, 'criterion': 'gini', 'max_depth': 10, 'max_features': 10, 'max_leaf_nodes': None, 'max_samples': None, 'min_impurity_decrease': 0.0, 'min_impurity_split': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'min_weight_fraction_leaf': 0.0, 'n_estimators': 25, 'n_jobs': None, 'oob_score': False, 'random_state': None, 'verbose': 0, 'warm_start': False} {"model": "RandomForestClassifier", "score": "0.133"}