Run
5881304

Run 5881304

Task 3512 (Supervised Classification) synthetic_control Uploaded 13-07-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1.
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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)_bootstrapfalse
sklearn.ensemble.forest.RandomForestClassifier(21)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(21)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features0.6677247208903662
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf18
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split9
sklearn.ensemble.forest.RandomForestClassifier(21)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(21)_n_estimators100
sklearn.ensemble.forest.RandomForestClassifier(21)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(21)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(21)_random_state10257
sklearn.ensemble.forest.RandomForestClassifier(21)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(21)_warm_startfalse
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
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)_sparsefalse
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

0.9904 ± 0.0063
Per class
Cross-validation details (10-fold Crossvalidation)
0.8895 ± 0.0275
Per class
Cross-validation details (10-fold Crossvalidation)
0.868 ± 0.0329
Cross-validation details (10-fold Crossvalidation)
506.5807 ± 1.6956
Cross-validation details (10-fold Crossvalidation)
0.0645 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
0.2778
Cross-validation details (10-fold Crossvalidation)
600
Per class
Cross-validation details (10-fold Crossvalidation)
0.8914 ± 0.0266
Per class
Cross-validation details (10-fold Crossvalidation)
0.89 ± 0.0274
Cross-validation details (10-fold Crossvalidation)
2.585
Cross-validation details (10-fold Crossvalidation)
0.89 ± 0.0274
Per class
Cross-validation details (10-fold Crossvalidation)
0.2323 ± 0.0345
Cross-validation details (10-fold Crossvalidation)
0.3727
Cross-validation details (10-fold Crossvalidation)
0.1645 ± 0.019
Cross-validation details (10-fold Crossvalidation)
0.4414 ± 0.0509
Cross-validation details (10-fold Crossvalidation)