Run
8850815

Run 8850815

Task 146803 (Supervised Classification) credit-g Uploaded 27-01-2018 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.trees766
mlr.classif.ranger(9)_mtry19
mlr.classif.ranger(9)_min.node.size226
mlr.classif.ranger(9)_sample.fraction0.461687107081525
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
0.7537
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6303
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0997
Cross-validation details (10-fold Crossvalidation)
KB relative information score
101.3266
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3672
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6932
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.713
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.713
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8739
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4245
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9264
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1723.7597
UserCPU time millis
1.695
UserCPU time millis testing
0.423
UserCPU time millis training
1.272