Run
8555577

Run 8555577

Task 145854 (Supervised Classification) nomao Uploaded 24-11-2017 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.trees408
mlr.classif.ranger(9)_mtry36
mlr.classif.ranger(9)_min.node.size5
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.287744003208354
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
0.9931
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9649
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9139
Cross-validation details (10-fold Crossvalidation)
KB relative information score
29199.8574
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0664
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9649
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.965
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.965
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1627
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1659
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3673
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1848.388
UserCPU time millis
735.378
UserCPU time millis testing
5.208
UserCPU time millis training
730.17