OpenML
8651234

Run 8651234

Task 9971 (Supervised Classification) ilpd Uploaded 14-12-2017 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.trees965
mlr.classif.ranger(16)_mtry7
mlr.classif.ranger(16)_min.node.size104
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.451031909813173
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
0.7346
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6297
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0623
Cross-validation details (10-fold Crossvalidation)
KB relative information score
55.2307
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3562
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4091
Cross-validation details (10-fold Crossvalidation)
Number of instances
583
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6595
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7136
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8651
Cross-validation details (10-fold Crossvalidation)
Recall
0.7136
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8708
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4521
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4194
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9278
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1357.0778
UserCPU time millis
1.32
UserCPU time millis testing
0.191
UserCPU time millis training
1.129