Run
10559930

Run 10559930

Task 37 (Supervised Classification) diabetes Uploaded 09-07-2021 by Gokul Talele
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Flow

sklearn.ensemble.forest.RandomForestClassifier(65)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 uses 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(65)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(65)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(65)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(65)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(65)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(65)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(65)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(65)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(65)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(65)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(65)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(65)_n_estimators"warn"
sklearn.ensemble.forest.RandomForestClassifier(65)_n_jobsnull
sklearn.ensemble.forest.RandomForestClassifier(65)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(65)_random_state9640
sklearn.ensemble.forest.RandomForestClassifier(65)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(65)_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

0.7964 ± 0.0608
Per class
Cross-validation details (10-fold Crossvalidation)
0.7428 ± 0.0516
Per class
Cross-validation details (10-fold Crossvalidation)
0.4232 ± 0.1181
Cross-validation details (10-fold Crossvalidation)
0.2958 ± 0.0765
Cross-validation details (10-fold Crossvalidation)
0.3212 ± 0.0305
Cross-validation details (10-fold Crossvalidation)
0.4545 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.7513 ± 0.0452
Cross-validation details (10-fold Crossvalidation)
768
Per class
Cross-validation details (10-fold Crossvalidation)
0.7442 ± 0.0522
Per class
Cross-validation details (10-fold Crossvalidation)
0.7513 ± 0.0452
Cross-validation details (10-fold Crossvalidation)
0.9331 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
0.7068 ± 0.0673
Cross-validation details (10-fold Crossvalidation)
0.4766 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.4145 ± 0.033
Cross-validation details (10-fold Crossvalidation)
0.8696 ± 0.0696
Cross-validation details (10-fold Crossvalidation)
0.7008 ± 0.0594
Cross-validation details (10-fold Crossvalidation)