Run
8737879

Run 8737879

Task 146803 (Supervised Classification) credit-g Uploaded 29-12-2017 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.trees1588
mlr.classif.ranger(16)_mtry5
mlr.classif.ranger(16)_min.node.size2
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.234295459045097
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
0.8015
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7395
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3539
Cross-validation details (10-fold Crossvalidation)
KB relative information score
187.1545
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3423
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
0.7511
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.763
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.763
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8147
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4014
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8759
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1471.3377
UserCPU time millis
10.012
UserCPU time millis testing
1.458
UserCPU time millis training
8.554