Run
8089834

Run 8089834

Task 37 (Supervised Classification) diabetes Uploaded 18-10-2017 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.trees1130
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size423
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.140061691775918
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
0.4993
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5134
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.0637
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4544
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
0.4239
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.651
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.651
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9999
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1859.3512
UserCPU time millis
0.993
UserCPU time millis testing
0.184
UserCPU time millis training
0.809