Run
8855154

Run 8855154

Task 145976 (Supervised Classification) diabetes Uploaded 28-01-2018 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.trees743
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size101
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.235969302686863
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
0.8222
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6859
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2976
Cross-validation details (10-fold Crossvalidation)
KB relative information score
122.842
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3916
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
0.7302
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.724
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.724
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8617
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4236
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8888
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1827.2816
UserCPU time millis
0.982
UserCPU time millis testing
0.139
UserCPU time millis training
0.843