Run
5951897

Run 5951897

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 14-07-2017 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • 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"entropy"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features0.4304250464420729
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_split2
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_state59183
sklearn.ensemble.forest.RandomForestClassifier(21)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(21)_warm_startfalse
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[0, 1, 2, 3, 4, 5]
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[0, 1, 2, 3, 4, 5]
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

0.9912 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
0.9729 ± 0.0287
Per class
Cross-validation details (10-fold Crossvalidation)
0.9458 ± 0.0575
Cross-validation details (10-fold Crossvalidation)
496.6251 ± 2.3418
Cross-validation details (10-fold Crossvalidation)
0.0604 ± 0.0184
Cross-validation details (10-fold Crossvalidation)
0.4992 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
554
Per class
Cross-validation details (10-fold Crossvalidation)
0.9731 ± 0.0282
Per class
Cross-validation details (10-fold Crossvalidation)
0.9729 ± 0.0287
Cross-validation details (10-fold Crossvalidation)
0.9989
Cross-validation details (10-fold Crossvalidation)
0.9729 ± 0.0287
Per class
Cross-validation details (10-fold Crossvalidation)
0.1209 ± 0.0369
Cross-validation details (10-fold Crossvalidation)
0.4996 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.1416 ± 0.0573
Cross-validation details (10-fold Crossvalidation)
0.2835 ± 0.1147
Cross-validation details (10-fold Crossvalidation)