Run
10560052

Run 10560052

Task 9946 (Supervised Classification) wdbc Uploaded 13-08-2021 by Sergey Redyuk
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Flow

sklearn.ensemble.forest.RandomForestClassifier(66)A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy and control over-fitting. The sub-sample size is always the same as the original input sample size but the samples are drawn with replacement if `bootstrap=True` (default).
sklearn.ensemble.forest.RandomForestClassifier(66)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(66)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(66)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(66)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(66)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(66)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(66)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(66)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(66)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(66)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(66)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(66)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(66)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(66)_random_state31199
sklearn.ensemble.forest.RandomForestClassifier(66)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(66)_warm_startfalse

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.

18 Evaluation measures

0.9867 ± 0.0149
Per class
Cross-validation details (10-fold Crossvalidation)
0.954 ± 0.0314
Per class
Cross-validation details (10-fold Crossvalidation)
0.9011 ± 0.0664
Cross-validation details (10-fold Crossvalidation)
0.8535 ± 0.0439
Cross-validation details (10-fold Crossvalidation)
0.0733 ± 0.0193
Cross-validation details (10-fold Crossvalidation)
0.4676 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
0.9543 ± 0.0311
Cross-validation details (10-fold Crossvalidation)
569
Per class
Cross-validation details (10-fold Crossvalidation)
0.9547 ± 0.0308
Per class
Cross-validation details (10-fold Crossvalidation)
0.9543 ± 0.0311
Cross-validation details (10-fold Crossvalidation)
0.9526 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
0.1567 ± 0.0407
Cross-validation details (10-fold Crossvalidation)
0.4835 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
0.1813 ± 0.0395
Cross-validation details (10-fold Crossvalidation)
0.3751 ± 0.0806
Cross-validation details (10-fold Crossvalidation)
0.9454 ± 0.0351
Cross-validation details (10-fold Crossvalidation)