OpenML
8271226

Run 8271226

Task 145976 (Supervised Classification) diabetes Uploaded 27-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees288
mlr.classif.ranger(9)_mtry7
mlr.classif.ranger(9)_min.node.size8
mlr.classif.ranger(9)_sample.fraction0.342370603326708
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
0.8333
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7614
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4698
Cross-validation details (10-fold Crossvalidation)
KB relative information score
242.8283
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3169
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
0.7603
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
0.6972
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
1750.9837
UserCPU time millis
1.193
UserCPU time millis testing
0.104
UserCPU time millis training
1.089