Run
8722288

Run 8722288

Task 145976 (Supervised Classification) diabetes Uploaded 29-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees448
mlr.classif.ranger(9)_mtry6
mlr.classif.ranger(9)_min.node.size1
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.845269341161475
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.8178
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.751
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4488
Cross-validation details (10-fold Crossvalidation)
KB relative information score
261.5956
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2991
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
0.7499
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7526
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7526
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6581
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4079
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8557
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1727.328
UserCPU time millis
4.708
UserCPU time millis testing
0.288
UserCPU time millis training
4.42