Run
8089996

Run 8089996

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.trees1928
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size3
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.597292251279578
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.8311
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7641
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4757
Cross-validation details (10-fold Crossvalidation)
KB relative information score
234.7911
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3215
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
0.7629
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7669
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7669
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7074
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3972
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8333
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1888.7521
UserCPU time millis
10.216
UserCPU time millis testing
1.473
UserCPU time millis training
8.743