Run
8086040

Run 8086040

Task 37 (Supervised Classification) diabetes Uploaded 18-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees415
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size311
mlr.classif.ranger(9)_sample.fraction0.609700395772234
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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.

21 Evaluation measures

Area under ROC curve
0.8036
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5555
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0632
Cross-validation details (10-fold Crossvalidation)
KB relative information score
75.616
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4171
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
0.6973
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6654
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.6654
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9178
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4426
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9287
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1864.8991
UserCPU time millis
0.388
UserCPU time millis testing
0.065
UserCPU time millis training
0.323