OpenML
9919270

Run 9919270

Task 3 (Supervised Classification) kr-vs-kp Uploaded 24-12-2018 by Pieter Gijsbers
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputation=preprocessing.ConditionalImputer2,cate ncoding=preprocessing.MultiLabelEncoder,variencethreshold=sklearn.feature_s election.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.R andomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(45)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(45)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(45)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(45)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(45)_max_features0.5569748295967174
sklearn.ensemble.forest.RandomForestClassifier(45)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(45)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(45)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(45)_min_samples_leaf20
sklearn.ensemble.forest.RandomForestClassifier(45)_min_samples_split16
sklearn.ensemble.forest.RandomForestClassifier(45)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(45)_n_estimators300
sklearn.ensemble.forest.RandomForestClassifier(45)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(45)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(45)_random_state15052
sklearn.ensemble.forest.RandomForestClassifier(45)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(45)_warm_startfalse
preprocessing.ConditionalImputer2(1)_axis0
preprocessing.ConditionalImputer2(1)_categorical_features[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]
preprocessing.ConditionalImputer2(1)_copytrue
preprocessing.ConditionalImputer2(1)_fill_empty0
preprocessing.ConditionalImputer2(1)_missing_values"NaN"
preprocessing.ConditionalImputer2(1)_strategy"mean"
preprocessing.ConditionalImputer2(1)_strategy_nominal"most_frequent"
preprocessing.ConditionalImputer2(1)_verbose0
sklearn.feature_selection.variance_threshold.VarianceThreshold(20)_threshold0.0
sklearn.pipeline.Pipeline(imputation=preprocessing.ConditionalImputer2,catencoding=preprocessing.MultiLabelEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)_memorynull
preprocessing.MultiLabelEncoder(1)_colsnull

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

0.9969 ± 0.002
Per class
Cross-validation details (10-fold Crossvalidation)
0.9687 ± 0.012
Per class
Cross-validation details (10-fold Crossvalidation)
0.9373 ± 0.024
Cross-validation details (10-fold Crossvalidation)
2815.9792 ± 5.4269
Cross-validation details (10-fold Crossvalidation)
0.0673 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
0.499 ± 0
Cross-validation details (10-fold Crossvalidation)
3196
Per class
Cross-validation details (10-fold Crossvalidation)
0.9687 ± 0.0119
Per class
Cross-validation details (10-fold Crossvalidation)
0.9687 ± 0.012
Cross-validation details (10-fold Crossvalidation)
0.9986
Cross-validation details (10-fold Crossvalidation)
0.9687 ± 0.012
Per class
Cross-validation details (10-fold Crossvalidation)
0.135 ± 0.0159
Cross-validation details (10-fold Crossvalidation)
0.4995 ± 0
Cross-validation details (10-fold Crossvalidation)
0.1532 ± 0.0199
Cross-validation details (10-fold Crossvalidation)
0.3067 ± 0.0398
Cross-validation details (10-fold Crossvalidation)