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5996837
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Run 5996837
Task 9985 (Supervised Classification)
first-order-theorem-proving
Uploaded 17-07-2017 by
Jan van Rijn
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Flow
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.forest.RandomForestClassifier)(1)
Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(21)_bootstrap
true
sklearn.ensemble.forest.RandomForestClassifier(21)_class_weight
null
sklearn.ensemble.forest.RandomForestClassifier(21)_criterion
"gini"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depth
null
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features
0.237279080922014
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodes
null
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split
1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf
14
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split
7
sklearn.ensemble.forest.RandomForestClassifier(21)_min_weight_fraction_leaf
0.0
sklearn.ensemble.forest.RandomForestClassifier(21)_n_estimators
100
sklearn.ensemble.forest.RandomForestClassifier(21)_n_jobs
1
sklearn.ensemble.forest.RandomForestClassifier(21)_oob_score
false
sklearn.ensemble.forest.RandomForestClassifier(21)_random_state
10480
sklearn.ensemble.forest.RandomForestClassifier(21)_verbose
0
sklearn.ensemble.forest.RandomForestClassifier(21)_warm_start
false
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
Result files
0 Evaluation measures