Run
8363821

Run 8363821

Task 37 (Supervised Classification) diabetes Uploaded 31-10-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees97
mlr.classif.ranger(13)_mtry5
mlr.classif.ranger(13)_min.node.size100
mlr.classif.ranger(13)_sample.fraction0.867423341772519
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
0.8342
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7583
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4593
Cross-validation details (10-fold Crossvalidation)
KB relative information score
236.1396
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3218
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
0.7585
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
0.7081
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3953
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8294
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1311.2198
UserCPU time millis
2.346
UserCPU time millis testing
0.179
UserCPU time millis training
2.167