OpenML
8500675

Run 8500675

Task 145976 (Supervised Classification) diabetes Uploaded 08-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees412
mlr.classif.ranger(15)_mtry3
mlr.classif.ranger(15)_min.node.size6
mlr.classif.ranger(15)_sample.fraction0.73539947278332
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.8322
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.776
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5006
Cross-validation details (10-fold Crossvalidation)
KB relative information score
247.3344
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3141
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
0.7755
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7799
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7799
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6912
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8301
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1358.0148
UserCPU time millis
1.97
UserCPU time millis testing
0.18
UserCPU time millis training
1.79