Run
8761478

Run 8761478

Task 145972 (Supervised Classification) credit-g Uploaded 31-12-2017 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.trees37
mlr.classif.ranger(9)_mtry16
mlr.classif.ranger(9)_min.node.size5
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.321406852034852
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.7838
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7465
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3763
Cross-validation details (10-fold Crossvalidation)
KB relative information score
206.3612
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3289
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
0.7468
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.76
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.76
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7828
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4054
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8847
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1744.5659
UserCPU time millis
0.691
UserCPU time millis testing
0.053
UserCPU time millis training
0.638