Run
6030799

Run 6030799

Task 14964 (Supervised Classification) artificial-characters Uploaded 20-07-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1. study_71
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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"entropy"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features0.45015340603363485
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf8
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split15
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_state44579
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"mean"
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)_sparsetrue
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

0.9804 ± 0.0017
Per class
Cross-validation details (10-fold Crossvalidation)
0.773 ± 0.0119
Per class
Cross-validation details (10-fold Crossvalidation)
0.7465 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
7681.0725 ± 7.4733
Cross-validation details (10-fold Crossvalidation)
0.0734 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
0.179 ± 0
Cross-validation details (10-fold Crossvalidation)
10218
Per class
Cross-validation details (10-fold Crossvalidation)
0.7743 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
0.7729 ± 0.012
Cross-validation details (10-fold Crossvalidation)
3.2849
Cross-validation details (10-fold Crossvalidation)
0.7729 ± 0.012
Per class
Cross-validation details (10-fold Crossvalidation)
0.4101 ± 0.01
Cross-validation details (10-fold Crossvalidation)
0.2992 ± 0
Cross-validation details (10-fold Crossvalidation)
0.179 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
0.5984 ± 0.0093
Cross-validation details (10-fold Crossvalidation)