Run
10560065

Run 10560065

Task 146819 (Supervised Classification) climate-model-simulation-crashes 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_state38955
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

0.8401 ± 0.1273
Per class
Cross-validation details (10-fold Crossvalidation)
0.9137 ± 0.04
Per class
Cross-validation details (10-fold Crossvalidation)
0.3686 ± 0.2891
Cross-validation details (10-fold Crossvalidation)
-0.2704 ± 0.3361
Cross-validation details (10-fold Crossvalidation)
0.128 ± 0.0182
Cross-validation details (10-fold Crossvalidation)
0.1571 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
0.9278 ± 0.0332
Cross-validation details (10-fold Crossvalidation)
540
Per class
Cross-validation details (10-fold Crossvalidation)
0.9152 ± 0.0507
Per class
Cross-validation details (10-fold Crossvalidation)
0.9278 ± 0.0332
Cross-validation details (10-fold Crossvalidation)
0.4202 ± 0.0325
Cross-validation details (10-fold Crossvalidation)
0.8144 ± 0.1413
Cross-validation details (10-fold Crossvalidation)
0.2792 ± 0.0143
Cross-validation details (10-fold Crossvalidation)
0.2458 ± 0.0289
Cross-validation details (10-fold Crossvalidation)
0.8806 ± 0.1207
Cross-validation details (10-fold Crossvalidation)
0.6352 ± 0.1251
Cross-validation details (10-fold Crossvalidation)