OpenML
8264219

Run 8264219

Task 145976 (Supervised Classification) diabetes Uploaded 27-10-2017 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.trees95
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size345
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.859136064420454
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
0.813
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6905
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.307
Cross-validation details (10-fold Crossvalidation)
KB relative information score
117.9354
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3936
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
0.732
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7266
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7266
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8659
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4261
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.894
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1753.8118
UserCPU time millis
0.142
UserCPU time millis testing
0.027
UserCPU time millis training
0.115