Run
8758641

Run 8758641

Task 145854 (Supervised Classification) nomao 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.trees476
mlr.classif.ranger(9)_mtry67
mlr.classif.ranger(9)_min.node.size488
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.203856425965205
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
0.9804
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9306
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8272
Cross-validation details (10-fold Crossvalidation)
KB relative information score
25130.4963
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1145
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
0.932
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.932
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.932
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2805
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2253
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4987
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
739.4802
UserCPU time millis
343.306
UserCPU time millis testing
5.644
UserCPU time millis training
337.662