Run
7043

Run 7043

Task 119 (Supervised Classification) diabetes Uploaded 02-03-2021 by Test Test
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Flow

sklearn.ensemble._forest.RandomForestClassifier(1)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(1)_bootstraptrue
sklearn.ensemble._forest.RandomForestClassifier(1)_ccp_alpha0.0
sklearn.ensemble._forest.RandomForestClassifier(1)_class_weightnull
sklearn.ensemble._forest.RandomForestClassifier(1)_criterion"gini"
sklearn.ensemble._forest.RandomForestClassifier(1)_max_depthnull
sklearn.ensemble._forest.RandomForestClassifier(1)_max_features"auto"
sklearn.ensemble._forest.RandomForestClassifier(1)_max_leaf_nodesnull
sklearn.ensemble._forest.RandomForestClassifier(1)_max_samplesnull
sklearn.ensemble._forest.RandomForestClassifier(1)_min_impurity_decrease0.0
sklearn.ensemble._forest.RandomForestClassifier(1)_min_impurity_splitnull
sklearn.ensemble._forest.RandomForestClassifier(1)_min_samples_leaf1
sklearn.ensemble._forest.RandomForestClassifier(1)_min_samples_split2
sklearn.ensemble._forest.RandomForestClassifier(1)_min_weight_fraction_leaf0.0
sklearn.ensemble._forest.RandomForestClassifier(1)_n_estimators100
sklearn.ensemble._forest.RandomForestClassifier(1)_n_jobsnull
sklearn.ensemble._forest.RandomForestClassifier(1)_oob_scorefalse
sklearn.ensemble._forest.RandomForestClassifier(1)_random_state38653
sklearn.ensemble._forest.RandomForestClassifier(1)_verbose0
sklearn.ensemble._forest.RandomForestClassifier(1)_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

0.8148
Per class
Cross-validation details (10% Holdout set)
0.7292
Per class
Cross-validation details (10% Holdout set)
0.411
Cross-validation details (10% Holdout set)
0.3107
Cross-validation details (10% Holdout set)
0.32
Cross-validation details (10% Holdout set)
0.4589
Cross-validation details (10% Holdout set)
0.7312
Cross-validation details (10% Holdout set)
253
Per class
Cross-validation details (10% Holdout set)
0.7279
Per class
Cross-validation details (10% Holdout set)
0.7312
Cross-validation details (10% Holdout set)
0.9463
Cross-validation details (10% Holdout set)
0.6974
Cross-validation details (10% Holdout set)
0.4813
Cross-validation details (10% Holdout set)
0.4074
Cross-validation details (10% Holdout set)
0.8466
Cross-validation details (10% Holdout set)
0.7026
Cross-validation details (10% Holdout set)