Run
8777083

Run 8777083

Task 145976 (Supervised Classification) diabetes Uploaded 05-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees662
mlr.classif.ranger(9)_mtry8
mlr.classif.ranger(9)_min.node.size54
mlr.classif.ranger(9)_sample.fraction0.619425973552279
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
0.834
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7586
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4603
Cross-validation details (10-fold Crossvalidation)
KB relative information score
245.8583
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3153
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
0.7586
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7643
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7643
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6937
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3943
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8273
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1728.8535
UserCPU time millis
2.659
UserCPU time millis testing
0.215
UserCPU time millis training
2.444