Run
8884967

Run 8884967

Task 31 (Supervised Classification) credit-g 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

0.7291 ± 0.042
Per class
Cross-validation details (10-fold Crossvalidation)
0.7203 ± 0.0433
Per class
Cross-validation details (10-fold Crossvalidation)
0.3085 ± 0.1104
Cross-validation details (10-fold Crossvalidation)
166.2769 ± 3.5348
Cross-validation details (10-fold Crossvalidation)
0.341 ± 0.0145
Cross-validation details (10-fold Crossvalidation)
0.4202
Cross-validation details (10-fold Crossvalidation)
1000
Per class
Cross-validation details (10-fold Crossvalidation)
0.7217 ± 0.0434
Per class
Cross-validation details (10-fold Crossvalidation)
0.74 ± 0.0353
Cross-validation details (10-fold Crossvalidation)
0.8818
Cross-validation details (10-fold Crossvalidation)
0.74 ± 0.0353
Per class
Cross-validation details (10-fold Crossvalidation)
0.8116 ± 0.0344
Cross-validation details (10-fold Crossvalidation)
0.4583
Cross-validation details (10-fold Crossvalidation)
0.4301 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
0.9385 ± 0.0378
Cross-validation details (10-fold Crossvalidation)