Run
5955584

Run 5955584

Task 9950 (Supervised Classification) micro-mass 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.
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_features0.6878670215688534
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf3
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_state38458
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

0.9936 ± 0.0028
Per class
Cross-validation details (10-fold Crossvalidation)
0.8558 ± 0.0091
Per class
Cross-validation details (10-fold Crossvalidation)
0.8508 ± 0.0449
Cross-validation details (10-fold Crossvalidation)
473.5944 ± 1.7802
Cross-validation details (10-fold Crossvalidation)
0.0305 ± 0.004
Cross-validation details (10-fold Crossvalidation)
0.0941 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
571
Per class
Cross-validation details (10-fold Crossvalidation)
0.8632 ± 0.0061
Per class
Cross-validation details (10-fold Crossvalidation)
0.8599 ± 0.0423
Cross-validation details (10-fold Crossvalidation)
4.208
Cross-validation details (10-fold Crossvalidation)
0.8599 ± 0.0423
Per class
Cross-validation details (10-fold Crossvalidation)
0.3239 ± 0.042
Cross-validation details (10-fold Crossvalidation)
0.2169 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.1046 ± 0.0115
Cross-validation details (10-fold Crossvalidation)
0.4821 ± 0.0529
Cross-validation details (10-fold Crossvalidation)