OpenML
8500694

Run 8500694

Task 9971 (Supervised Classification) ilpd Uploaded 08-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1098
mlr.classif.ranger(15)_mtry1
mlr.classif.ranger(15)_min.node.size2
mlr.classif.ranger(15)_sample.fraction0.84157852139324
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.7557
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6883
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1993
Cross-validation details (10-fold Crossvalidation)
KB relative information score
66.1285
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3491
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
0.6979
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.729
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8651
Cross-validation details (10-fold Crossvalidation)
Recall
0.729
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8534
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4521
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4138
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9152
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1309.449
UserCPU time millis
4.42
UserCPU time millis testing
0.56
UserCPU time millis training
3.86