Run
10587771

Run 10587771

Task 37 (Supervised Classification) diabetes Uploaded 21-04-2022 by Neha Vinayak
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Flow

sklearn.ensemble._forest.RandomForestClassifier(14)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 controlled with the `max_samples` parameter if `bootstrap=True` (default), otherwise the whole dataset is used to build each tree.
sklearn.ensemble._forest.RandomForestClassifier(14)_bootstraptrue
sklearn.ensemble._forest.RandomForestClassifier(14)_ccp_alpha0.0
sklearn.ensemble._forest.RandomForestClassifier(14)_class_weightnull
sklearn.ensemble._forest.RandomForestClassifier(14)_criterion"gini"
sklearn.ensemble._forest.RandomForestClassifier(14)_max_depthnull
sklearn.ensemble._forest.RandomForestClassifier(14)_max_features"auto"
sklearn.ensemble._forest.RandomForestClassifier(14)_max_leaf_nodesnull
sklearn.ensemble._forest.RandomForestClassifier(14)_max_samplesnull
sklearn.ensemble._forest.RandomForestClassifier(14)_min_impurity_decrease0.0
sklearn.ensemble._forest.RandomForestClassifier(14)_min_impurity_splitnull
sklearn.ensemble._forest.RandomForestClassifier(14)_min_samples_leaf1
sklearn.ensemble._forest.RandomForestClassifier(14)_min_samples_split2
sklearn.ensemble._forest.RandomForestClassifier(14)_min_weight_fraction_leaf0.0
sklearn.ensemble._forest.RandomForestClassifier(14)_n_estimators100
sklearn.ensemble._forest.RandomForestClassifier(14)_n_jobsnull
sklearn.ensemble._forest.RandomForestClassifier(14)_oob_scorefalse
sklearn.ensemble._forest.RandomForestClassifier(14)_random_state27315
sklearn.ensemble._forest.RandomForestClassifier(14)_verbose0
sklearn.ensemble._forest.RandomForestClassifier(14)_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

0.8251 ± 0.0437
Per class
Cross-validation details (10-fold Crossvalidation)
0.7601 ± 0.0452
Per class
Cross-validation details (10-fold Crossvalidation)
0.4651 ± 0.1003
Cross-validation details (10-fold Crossvalidation)
0.307 ± 0.0625
Cross-validation details (10-fold Crossvalidation)
0.3203 ± 0.0229
Cross-validation details (10-fold Crossvalidation)
0.4545 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.7643 ± 0.0443
Cross-validation details (10-fold Crossvalidation)
768
Per class
Cross-validation details (10-fold Crossvalidation)
0.7592 ± 0.046
Per class
Cross-validation details (10-fold Crossvalidation)
0.7643 ± 0.0443
Cross-validation details (10-fold Crossvalidation)
0.9331 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
0.7047 ± 0.0506
Cross-validation details (10-fold Crossvalidation)
0.4766 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.4001 ± 0.0255
Cross-validation details (10-fold Crossvalidation)
0.8395 ± 0.0541
Cross-validation details (10-fold Crossvalidation)
0.7255 ± 0.0492
Cross-validation details (10-fold Crossvalidation)