Run
8611024

Run 8611024

Task 146803 (Supervised Classification) credit-g Uploaded 03-12-2017 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.trees561
mlr.classif.ranger(9)_mtry15
mlr.classif.ranger(9)_min.node.size313
mlr.classif.ranger(9)_sample.fraction0.984633909538388
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
0.7669
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7007
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2565
Cross-validation details (10-fold Crossvalidation)
KB relative information score
139.7306
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3565
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
0.7145
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.735
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.735
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8485
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4165
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9089
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1858.3721
UserCPU time millis
1.845
UserCPU time millis testing
0.273
UserCPU time millis training
1.572