OpenML
8358309

Run 8358309

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.trees971
mlr.classif.ranger(13)_mtry4
mlr.classif.ranger(13)_min.node.size5
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.849332302552648
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
0.8263
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7648
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4785
Cross-validation details (10-fold Crossvalidation)
KB relative information score
260.2531
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3028
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
0.7637
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7669
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7669
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6662
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8407
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1296.2906
UserCPU time millis
36.556
UserCPU time millis testing
2.899
UserCPU time millis training
33.657