Run
18355

Run 18355

Task 119 (Supervised Classification) diabetes Uploaded 12-11-2019 by Test Test
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Flow

sklearn.ensemble.forest.RandomForestClassifier(16)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(16)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(16)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(16)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(16)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(16)_n_estimators"warn"
sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobsnull
sklearn.ensemble.forest.RandomForestClassifier(16)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(16)_random_state4613
sklearn.ensemble.forest.RandomForestClassifier(16)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(16)_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

0.7966
Per class
Cross-validation details (10% Holdout set)
0.7419
Per class
Cross-validation details (10% Holdout set)
0.435
Cross-validation details (10% Holdout set)
0.3078
Cross-validation details (10% Holdout set)
0.3182
Cross-validation details (10% Holdout set)
0.4589
Cross-validation details (10% Holdout set)
0.747
Cross-validation details (10% Holdout set)
253
Per class
Cross-validation details (10% Holdout set)
0.7416
Per class
Cross-validation details (10% Holdout set)
0.747
Cross-validation details (10% Holdout set)
0.9463
Cross-validation details (10% Holdout set)
0.6933
Cross-validation details (10% Holdout set)
0.4813
Cross-validation details (10% Holdout set)
0.4257
Cross-validation details (10% Holdout set)
0.8846
Cross-validation details (10% Holdout set)
0.7104
Cross-validation details (10% Holdout set)