OpenML
8500670

Run 8500670

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.trees86
mlr.classif.ranger(15)_mtry7
mlr.classif.ranger(15)_min.node.size308
mlr.classif.ranger(15)_sample.fraction0.461177943553776
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
0.7891
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7236
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3773
Cross-validation details (10-fold Crossvalidation)
KB relative information score
144.6206
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3795
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
0.7324
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7396
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7396
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8349
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4251
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8919
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1294.8813
UserCPU time millis
0.14
UserCPU time millis testing
0.04
UserCPU time millis training
0.1