Run
10588261

Run 10588261

Task 37 (Supervised Classification) diabetes Uploaded 26-09-2022 by VAIBHAV JAISWAL
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Flow

sklearn.ensemble._forest.RandomForestClassifier(12)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(12)_bootstraptrue
sklearn.ensemble._forest.RandomForestClassifier(12)_ccp_alpha0.0
sklearn.ensemble._forest.RandomForestClassifier(12)_class_weightnull
sklearn.ensemble._forest.RandomForestClassifier(12)_criterion"gini"
sklearn.ensemble._forest.RandomForestClassifier(12)_max_depthnull
sklearn.ensemble._forest.RandomForestClassifier(12)_max_features"auto"
sklearn.ensemble._forest.RandomForestClassifier(12)_max_leaf_nodesnull
sklearn.ensemble._forest.RandomForestClassifier(12)_max_samplesnull
sklearn.ensemble._forest.RandomForestClassifier(12)_min_impurity_decrease0.0
sklearn.ensemble._forest.RandomForestClassifier(12)_min_samples_leaf1
sklearn.ensemble._forest.RandomForestClassifier(12)_min_samples_split2
sklearn.ensemble._forest.RandomForestClassifier(12)_min_weight_fraction_leaf0.0
sklearn.ensemble._forest.RandomForestClassifier(12)_n_estimators100
sklearn.ensemble._forest.RandomForestClassifier(12)_n_jobsnull
sklearn.ensemble._forest.RandomForestClassifier(12)_oob_scorefalse
sklearn.ensemble._forest.RandomForestClassifier(12)_random_state25338
sklearn.ensemble._forest.RandomForestClassifier(12)_verbose0
sklearn.ensemble._forest.RandomForestClassifier(12)_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

0.8259 ± 0.0445
Per class
Cross-validation details (10-fold Crossvalidation)
0.7571 ± 0.0471
Per class
Cross-validation details (10-fold Crossvalidation)
0.4582 ± 0.1047
Cross-validation details (10-fold Crossvalidation)
0.3091 ± 0.0628
Cross-validation details (10-fold Crossvalidation)
0.3188 ± 0.0235
Cross-validation details (10-fold Crossvalidation)
0.4545 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.7617 ± 0.0464
Cross-validation details (10-fold Crossvalidation)
768
Per class
Cross-validation details (10-fold Crossvalidation)
0.7564 ± 0.0485
Per class
Cross-validation details (10-fold Crossvalidation)
0.7617 ± 0.0464
Cross-validation details (10-fold Crossvalidation)
0.9331 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
0.7014 ± 0.0517
Cross-validation details (10-fold Crossvalidation)
0.4766 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.4004 ± 0.0266
Cross-validation details (10-fold Crossvalidation)
0.8399 ± 0.0562
Cross-validation details (10-fold Crossvalidation)
0.7218 ± 0.0511
Cross-validation details (10-fold Crossvalidation)