OpenML
8500666

Run 8500666

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.trees602
mlr.classif.ranger(15)_mtry6
mlr.classif.ranger(15)_min.node.size13
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.89459880667273
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
0.8223
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7605
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4683
Cross-validation details (10-fold Crossvalidation)
KB relative information score
264.2218
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2986
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
0.7593
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.763
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.763
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.657
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4044
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8484
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1311.3674
UserCPU time millis
4.52
UserCPU time millis testing
0.26
UserCPU time millis training
4.26