Run
10560020

Run 10560020

Task 145854 (Supervised Classification) nomao 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_state62080
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

0.9909 ± 0.0014
Per class
Cross-validation details (10-fold Crossvalidation)
0.9659 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
0.9165 ± 0.0058
Cross-validation details (10-fold Crossvalidation)
0.8603 ± 0.0057
Cross-validation details (10-fold Crossvalidation)
0.0594 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
0.4081 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.9659 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
34465
Per class
Cross-validation details (10-fold Crossvalidation)
0.9659 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
0.9659 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
0.863 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.1456 ± 0.0058
Cross-validation details (10-fold Crossvalidation)
0.4517 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.164 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
0.3631 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
0.9584 ± 0.0036
Cross-validation details (10-fold Crossvalidation)