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6006045
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Run 6006045
Task 9979 (Supervised Classification)
cardiotocography
Uploaded 17-07-2017 by
Jan van Rijn
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Evaluation Engine Exception: Run description file not present.
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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
5
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
50790
sklearn.tree.tree.DecisionTreeClassifier(10)_splitter
"best"
openmlstudy14.preprocessing.ConditionalImputer(2)_axis
0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features
[]
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
"mean"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal
"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose
0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features
[]
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
false
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold
0.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_algorithm
"SAMME.R"
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_learning_rate
0.15641294216316623
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_n_estimators
483
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_random_state
21121
Result files
0 Evaluation measures