sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona
lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres
hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif
ier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=skle
arn.tree.tree.DecisionTreeClassifier))(1) | Automatically created scikit-learn flow. |
sklearn.tree.tree.DecisionTreeClassifier(10)_class_weight | null |
sklearn.tree.tree.DecisionTreeClassifier(10)_criterion | "gini" |
sklearn.tree.tree.DecisionTreeClassifier(10)_max_depth | 1 |
sklearn.tree.tree.DecisionTreeClassifier(10)_max_features | null |
sklearn.tree.tree.DecisionTreeClassifier(10)_max_leaf_nodes | null |
sklearn.tree.tree.DecisionTreeClassifier(10)_min_impurity_split | 1e-07 |
sklearn.tree.tree.DecisionTreeClassifier(10)_min_samples_leaf | 1 |
sklearn.tree.tree.DecisionTreeClassifier(10)_min_samples_split | 2 |
sklearn.tree.tree.DecisionTreeClassifier(10)_min_weight_fraction_leaf | 0.0 |
sklearn.tree.tree.DecisionTreeClassifier(10)_presort | false |
sklearn.tree.tree.DecisionTreeClassifier(10)_random_state | 18295 |
sklearn.tree.tree.DecisionTreeClassifier(10)_splitter | "best" |
openmlstudy14.preprocessing.ConditionalImputer(2)_axis | 0 |
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features | [4, 6, 9, 11, 12, 13, 14, 15] |
openmlstudy14.preprocessing.ConditionalImputer(2)_copy | true |
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty | 0 |
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values | "NaN" |
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy | "median" |
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal | "most_frequent" |
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose | 0 |
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features | [4, 6, 9, 11, 12, 13, 14, 15] |
sklearn.preprocessing.data.OneHotEncoder(7)_dtype | {"oml-python:serialized_object": "type", "value": "np.float64"} |
sklearn.preprocessing.data.OneHotEncoder(7)_handle_unknown | "ignore" |
sklearn.preprocessing.data.OneHotEncoder(7)_n_values | "auto" |
sklearn.preprocessing.data.OneHotEncoder(7)_sparse | true |
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold | 0.0 |
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_algorithm | "SAMME" |
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_learning_rate | 0.017803900107077834 |
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_n_estimators | 310 |
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_random_state | 59471 |