Run
8872405

Run 8872405

Task 37 (Supervised Classification) diabetes Uploaded 05-03-2018 by Raphaël Couronné
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Flow

mlr.classif.ctree(17)Learner mlr.classif.ctree from package(s) party.
mlr.classif.ctree(17)_openml.seed1
mlr.classif.ctree(17)_openml.kindMersenne-Twister
mlr.classif.ctree(17)_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.

20 Evaluation measures

Area under ROC curve
0.6961
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7341
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4063
Cross-validation details (10-fold Crossvalidation)
KB relative information score
309.7928
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2604
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
0.7329
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7396
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7396
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.573
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5103
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0706
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.469
UserCPU time millis testing
0.065
UserCPU time millis training
0.404