Run
8011675

Run 8011675

Task 145848 (Supervised Classification) ilpd Uploaded 17-10-2017 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.trees576
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size9
mlr.classif.ranger(9)_sample.fraction0.347794298594818
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
0.7483
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6438
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0919
Cross-validation details (10-fold Crossvalidation)
KB relative information score
57.9638
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3551
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
0.6672
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7153
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8651
Cross-validation details (10-fold Crossvalidation)
Recall
0.7153
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8679
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4521
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4169
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9221
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1850.7491
UserCPU time millis
1.392
UserCPU time millis testing
0.205
UserCPU time millis training
1.187