Run
8758379

Run 8758379

Task 145976 (Supervised Classification) diabetes Uploaded 31-12-2017 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.trees216
mlr.classif.ranger(16)_mtry6
mlr.classif.ranger(16)_min.node.size6
mlr.classif.ranger(16)_sample.fraction0.400500520458445
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
0.8327
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7574
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4592
Cross-validation details (10-fold Crossvalidation)
KB relative information score
247.8948
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3139
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
0.7565
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7617
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7617
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6906
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
0.8303
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1378.1196
UserCPU time millis
0.966
UserCPU time millis testing
0.086
UserCPU time millis training
0.88