Run
8714382

Run 8714382

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(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees137
mlr.classif.ranger(16)_mtry2
mlr.classif.ranger(16)_min.node.size1
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.279639628832228
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.831
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7716
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4892
Cross-validation details (10-fold Crossvalidation)
KB relative information score
227.8571
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.327
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
0.7724
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7773
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7773
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7194
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3976
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8342
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1373.9699
UserCPU time millis
0.524
UserCPU time millis testing
0.066
UserCPU time millis training
0.458