Run
10560082

Run 10560082

Task 167141 (Supervised Classification) churn 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_state34233
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

0.9184 ± 0.0249
Per class
Cross-validation details (10-fold Crossvalidation)
0.9497 ± 0.0082
Per class
Cross-validation details (10-fold Crossvalidation)
0.782 ± 0.0369
Cross-validation details (10-fold Crossvalidation)
0.5032 ± 0.0358
Cross-validation details (10-fold Crossvalidation)
0.1064 ± 0.0062
Cross-validation details (10-fold Crossvalidation)
0.2429 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
0.9526 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
5000
Per class
Cross-validation details (10-fold Crossvalidation)
0.9522 ± 0.0074
Per class
Cross-validation details (10-fold Crossvalidation)
0.9526 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.5879 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
0.4378 ± 0.0255
Cross-validation details (10-fold Crossvalidation)
0.3484 ± 0.001
Cross-validation details (10-fold Crossvalidation)
0.2142 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
0.6148 ± 0.0342
Cross-validation details (10-fold Crossvalidation)
0.8501 ± 0.0255
Cross-validation details (10-fold Crossvalidation)