Run
6015794

Run 6015794

Task 14964 (Supervised Classification) artificial-characters Uploaded 18-07-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1. study_71
Issue #Downvotes for this reason By


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"gini"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features0.8336867774170642
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf9
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split18
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_state29678
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)_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

0.9749 ± 0.0018
Per class
Cross-validation details (10-fold Crossvalidation)
0.731 ± 0.0127
Per class
Cross-validation details (10-fold Crossvalidation)
0.6996 ± 0.0142
Cross-validation details (10-fold Crossvalidation)
7328.3401 ± 8.1417
Cross-validation details (10-fold Crossvalidation)
0.0811 ± 0.002
Cross-validation details (10-fold Crossvalidation)
0.179 ± 0
Cross-validation details (10-fold Crossvalidation)
10218
Per class
Cross-validation details (10-fold Crossvalidation)
0.7326 ± 0.0131
Per class
Cross-validation details (10-fold Crossvalidation)
0.731 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
3.2849
Cross-validation details (10-fold Crossvalidation)
0.731 ± 0.0127
Per class
Cross-validation details (10-fold Crossvalidation)
0.4531 ± 0.0112
Cross-validation details (10-fold Crossvalidation)
0.2992 ± 0
Cross-validation details (10-fold Crossvalidation)
0.1895 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.6335 ± 0.009
Cross-validation details (10-fold Crossvalidation)