Run
8834266

Run 8834266

Task 145854 (Supervised Classification) nomao Uploaded 25-01-2018 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.trees1420
mlr.classif.ranger(9)_mtry69
mlr.classif.ranger(9)_min.node.size72
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.59084538128227
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
0.991
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9592
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8999
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28592.6525
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.073
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
0.9591
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9592
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9592
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1788
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1782
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3945
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
780.8685
UserCPU time millis
5706.033
UserCPU time millis testing
34.242
UserCPU time millis training
5671.791