Run
8653558

Run 8653558

Task 145848 (Supervised Classification) ilpd Uploaded 15-12-2017 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.trees1155
mlr.classif.ranger(16)_mtry10
mlr.classif.ranger(16)_min.node.size9
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.423844886058942
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
0.7333
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6641
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1443
Cross-validation details (10-fold Crossvalidation)
KB relative information score
60.459
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3486
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
0.6553
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6878
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8651
Cross-validation details (10-fold Crossvalidation)
Recall
0.6878
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8522
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4521
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4229
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9353
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1231.0339
UserCPU time millis
5.616
UserCPU time millis testing
0.399
UserCPU time millis training
5.217