OpenML
8358357

Run 8358357

Task 37 (Supervised Classification) diabetes Uploaded 31-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1410
mlr.classif.ranger(13)_mtry2
mlr.classif.ranger(13)_min.node.size1
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.694942968641408
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.829
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7729
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4949
Cross-validation details (10-fold Crossvalidation)
KB relative information score
244.2533
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3151
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
0.772
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.776
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.776
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6933
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3981
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8351
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1290.9005
UserCPU time millis
48.99
UserCPU time millis testing
4.76
UserCPU time millis training
44.23