OpenML
8256394

Run 8256394

Task 145976 (Supervised Classification) diabetes Uploaded 26-10-2017 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.trees177
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size1
mlr.classif.ranger(9)_sample.fraction0.387245909986086
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
0.8327
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7688
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4856
Cross-validation details (10-fold Crossvalidation)
KB relative information score
238.8849
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3196
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
0.7679
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
0.7032
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3965
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8318
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1844.2371
UserCPU time millis
0.845
UserCPU time millis testing
0.089
UserCPU time millis training
0.756