Run
8610506

Run 8610506

Task 145972 (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(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1719
mlr.classif.ranger(15)_mtry19
mlr.classif.ranger(15)_min.node.size4
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.855411450075917
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
0.7735
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7459
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3819
Cross-validation details (10-fold Crossvalidation)
KB relative information score
224.7938
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3168
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
0.743
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.753
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.753
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7539
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4127
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9005
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1420.0064
UserCPU time millis
27.5
UserCPU time millis testing
1.33
UserCPU time millis training
26.17