Run
10595119

Run 10595119

Task 37 (Supervised Classification) diabetes Uploaded 09-07-2024 by Jeena Amatya
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Flow

sklearn.ensemble._forest.RandomForestClassifier(45)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(45)_bootstraptrue
sklearn.ensemble._forest.RandomForestClassifier(45)_ccp_alpha0.0
sklearn.ensemble._forest.RandomForestClassifier(45)_class_weightnull
sklearn.ensemble._forest.RandomForestClassifier(45)_criterion"gini"
sklearn.ensemble._forest.RandomForestClassifier(45)_max_depthnull
sklearn.ensemble._forest.RandomForestClassifier(45)_max_features"sqrt"
sklearn.ensemble._forest.RandomForestClassifier(45)_max_leaf_nodesnull
sklearn.ensemble._forest.RandomForestClassifier(45)_max_samplesnull
sklearn.ensemble._forest.RandomForestClassifier(45)_min_impurity_decrease0.0
sklearn.ensemble._forest.RandomForestClassifier(45)_min_samples_leaf1
sklearn.ensemble._forest.RandomForestClassifier(45)_min_samples_split2
sklearn.ensemble._forest.RandomForestClassifier(45)_min_weight_fraction_leaf0.0
sklearn.ensemble._forest.RandomForestClassifier(45)_n_estimators100
sklearn.ensemble._forest.RandomForestClassifier(45)_n_jobsnull
sklearn.ensemble._forest.RandomForestClassifier(45)_oob_scorefalse
sklearn.ensemble._forest.RandomForestClassifier(45)_random_state57659
sklearn.ensemble._forest.RandomForestClassifier(45)_verbose0
sklearn.ensemble._forest.RandomForestClassifier(45)_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

0.8264 ± 0.0435
Per class
Cross-validation details (10-fold Crossvalidation)
0.7521 ± 0.0499
Per class
Cross-validation details (10-fold Crossvalidation)
0.4459 ± 0.112
Cross-validation details (10-fold Crossvalidation)
0.3129 ± 0.0602
Cross-validation details (10-fold Crossvalidation)
0.3177 ± 0.022
Cross-validation details (10-fold Crossvalidation)
0.4545 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.7578 ± 0.0482
Cross-validation details (10-fold Crossvalidation)
768
Per class
Cross-validation details (10-fold Crossvalidation)
0.7518 ± 0.0521
Per class
Cross-validation details (10-fold Crossvalidation)
0.7578 ± 0.0482
Cross-validation details (10-fold Crossvalidation)
0.9331 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
0.699 ± 0.0485
Cross-validation details (10-fold Crossvalidation)
0.4766 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.3996 ± 0.0272
Cross-validation details (10-fold Crossvalidation)
0.8384 ± 0.0575
Cross-validation details (10-fold Crossvalidation)
0.7144 ± 0.0537
Cross-validation details (10-fold Crossvalidation)