Run
8731650

Run 8731650

Task 145853 (Supervised Classification) madelon Uploaded 29-12-2017 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.trees569
mlr.classif.ranger(9)_mtry8
mlr.classif.ranger(9)_min.node.size602
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.810107061848976
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
0.6841
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6115
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2231
Cross-validation details (10-fold Crossvalidation)
KB relative information score
88.6616
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4875
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6115
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6115
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6115
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.975
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4888
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9776
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2132.217
UserCPU time millis
5.013
UserCPU time millis testing
0.39
UserCPU time millis training
4.623