Run
1848160

Run 1848160

Task 37 (Supervised Classification) diabetes Uploaded 02-03-2017 by Giuseppe Casalicchio
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Flow

mlr.classif.cforest.preproc(2)Learner mlr.classif.cforest.preproc from package(s) party.
mlr.classif.cforest.preproc(2)_openml.seed1
mlr.classif.cforest.preproc(2)_openml.kindMersenne-Twister
mlr.classif.cforest.preproc(2)_openml.normal.kindInversion

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
0.8338
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.763
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4693
Cross-validation details (10-fold Crossvalidation)
KB relative information score
281.8534
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2897
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.764
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7695
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7695
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6373
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3968
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8326
Cross-validation details (10-fold Crossvalidation)