OpenML
8357629

Run 8357629

Task 37 (Supervised Classification) diabetes Uploaded 31-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees399
mlr.classif.ranger(13)_mtry3
mlr.classif.ranger(13)_min.node.size2
mlr.classif.ranger(13)_sample.fraction0.420956242922694
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.835
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7657
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4766
Cross-validation details (10-fold Crossvalidation)
KB relative information score
242.0112
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3174
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
0.7656
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7708
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7708
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6985
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3949
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8284
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1296.262
UserCPU time millis
7.979
UserCPU time millis testing
0.744
UserCPU time millis training
7.235