Run
8607767

Run 8607767

Task 146803 (Supervised Classification) credit-g Uploaded 02-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees345
mlr.classif.ranger(15)_mtry11
mlr.classif.ranger(15)_min.node.size414
mlr.classif.ranger(15)_sample.fraction0.811616366007365
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
0.7651
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5875
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0212
Cross-validation details (10-fold Crossvalidation)
KB relative information score
90.0485
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3742
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
0.7423
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.704
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.704
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8906
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.425
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9275
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1325.0919
UserCPU time millis
0.69
UserCPU time millis testing
0.11
UserCPU time millis training
0.58