Run
8884973

Run 8884973

Task 45 (Supervised Classification) splice Uploaded 13-03-2018 by vittorio silva
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(15)_axis0
sklearn.preprocessing.imputation.Imputer(15)_copytrue
sklearn.preprocessing.imputation.Imputer(15)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(15)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(15)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state51324
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)_memorynull

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

0.9859 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
0.9333 ± 0.0124
Per class
Cross-validation details (10-fold Crossvalidation)
0.8916 ± 0.0202
Cross-validation details (10-fold Crossvalidation)
2363.0828 ± 4.8404
Cross-validation details (10-fold Crossvalidation)
0.1361 ± 0.0069
Cross-validation details (10-fold Crossvalidation)
0.4101 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
3190
Per class
Cross-validation details (10-fold Crossvalidation)
0.9334 ± 0.0125
Per class
Cross-validation details (10-fold Crossvalidation)
0.9332 ± 0.0124
Cross-validation details (10-fold Crossvalidation)
1.4804
Cross-validation details (10-fold Crossvalidation)
0.9332 ± 0.0124
Per class
Cross-validation details (10-fold Crossvalidation)
0.3318 ± 0.0169
Cross-validation details (10-fold Crossvalidation)
0.4528 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.2181 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
0.4817 ± 0.0197
Cross-validation details (10-fold Crossvalidation)