Run
10227855

Run 10227855

Task 145976 (Supervised Classification) diabetes Uploaded 26-04-2019 by Adrian-Stefan Mares
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.ensemble.forest.RandomForestClassifier)(2)Automatically created scikit-learn flow.
sklearn.impute.SimpleImputer(10)_copytrue
sklearn.impute.SimpleImputer(10)_fill_valuenull
sklearn.impute.SimpleImputer(10)_missing_valuesNaN
sklearn.impute.SimpleImputer(10)_strategy"mean"
sklearn.impute.SimpleImputer(10)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(51)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(51)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(51)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(51)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(51)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(51)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(51)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(51)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(51)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(51)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(51)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(51)_n_estimators"warn"
sklearn.ensemble.forest.RandomForestClassifier(51)_n_jobsnull
sklearn.ensemble.forest.RandomForestClassifier(51)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(51)_random_state32393
sklearn.ensemble.forest.RandomForestClassifier(51)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(51)_warm_startfalse
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(2)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(2)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]

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.

17 Evaluation measures

Area under ROC curve
0.7997 ± 0.0572
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7332 ± 0.0533
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4007 ± 0.1209
Cross-validation details (10-fold Crossvalidation)
KB relative information score
232.3428 ± 6.1974
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3187 ± 0.0323
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7356 ± 0.0534
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7435 ± 0.0491
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7435 ± 0.0491
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7013 ± 0.071
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4164 ± 0.0376
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8735 ± 0.0789
Cross-validation details (10-fold Crossvalidation)