Run
5918841

Run 5918841

Task 9971 (Supervised Classification) ilpd 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)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(21)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(21)_criterion"entropy"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features0.7011378223682169
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf6
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split7
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_state11499
sklearn.ensemble.forest.RandomForestClassifier(21)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(21)_warm_startfalse
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[1]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
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)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[1]
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

0.7354 ± 0.0725
Per class
Cross-validation details (10-fold Crossvalidation)
0.6609 ± 0.071
Per class
Cross-validation details (10-fold Crossvalidation)
0.1339 ± 0.1751
Cross-validation details (10-fold Crossvalidation)
66.5324 ± 4.6589
Cross-validation details (10-fold Crossvalidation)
0.3433 ± 0.0241
Cross-validation details (10-fold Crossvalidation)
0.4091 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
583
Per class
Cross-validation details (10-fold Crossvalidation)
0.6519 ± 0.0792
Per class
Cross-validation details (10-fold Crossvalidation)
0.6878 ± 0.0651
Cross-validation details (10-fold Crossvalidation)
0.865
Cross-validation details (10-fold Crossvalidation)
0.6878 ± 0.0651
Per class
Cross-validation details (10-fold Crossvalidation)
0.839 ± 0.0579
Cross-validation details (10-fold Crossvalidation)
0.4521 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
0.4227 ± 0.0248
Cross-validation details (10-fold Crossvalidation)
0.9349 ± 0.0535
Cross-validation details (10-fold Crossvalidation)