Run
8646385

Run 8646385

Task 146803 (Supervised Classification) credit-g Uploaded 12-12-2017 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.trees1103
mlr.classif.ranger(16)_mtry6
mlr.classif.ranger(16)_min.node.size472
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.99555808166042
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
0.7578
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.622
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0894
Cross-validation details (10-fold Crossvalidation)
KB relative information score
95.3927
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.378
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
0.7444
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.717
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.717
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8996
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4244
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9261
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1213.6237
UserCPU time millis
1.874
UserCPU time millis testing
0.283
UserCPU time millis training
1.591