OpenML
8500680

Run 8500680

Task 145976 (Supervised Classification) diabetes Uploaded 08-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1974
mlr.classif.ranger(15)_mtry6
mlr.classif.ranger(15)_min.node.size9
mlr.classif.ranger(15)_sample.fraction0.123711731215008
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.8313
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7666
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4769
Cross-validation details (10-fold Crossvalidation)
KB relative information score
229.3058
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3266
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
0.7682
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7734
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7734
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7187
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.397
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8328
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1287.0717
UserCPU time millis
4.06
UserCPU time millis testing
0.39
UserCPU time millis training
3.67