OpenML
8500685

Run 8500685

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.trees156
mlr.classif.ranger(15)_mtry5
mlr.classif.ranger(15)_min.node.size13
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.719488619803451
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
0.8299
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7686
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4847
Cross-validation details (10-fold Crossvalidation)
KB relative information score
261.058
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3025
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
0.7677
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7721
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7721
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6655
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.398
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.835
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1659.1086
UserCPU time millis
0.63
UserCPU time millis testing
0.03
UserCPU time millis training
0.6