Run
10560011

Run 10560011

Task 14970 (Supervised Classification) har 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_state1764
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

0.9983 ± 0.0007
Per class
Cross-validation details (10-fold Crossvalidation)
0.968 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
0.9615 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
0.9223 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
0.0365 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
0.2771 ± 0
Cross-validation details (10-fold Crossvalidation)
0.968 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
10299
Per class
Cross-validation details (10-fold Crossvalidation)
0.9681 ± 0.0056
Per class
Cross-validation details (10-fold Crossvalidation)
0.968 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
2.5759 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.1319 ± 0.0058
Cross-validation details (10-fold Crossvalidation)
0.3722 ± 0
Cross-validation details (10-fold Crossvalidation)
0.1072 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
0.2879 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
0.9679 ± 0.0057
Cross-validation details (10-fold Crossvalidation)