Run
8592297

Run 8592297

Task 145854 (Supervised Classification) nomao Uploaded 29-11-2017 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.trees137
mlr.classif.ranger(9)_mtry3
mlr.classif.ranger(9)_min.node.size44
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.40517231898848
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
0.9919
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9568
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8933
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26483.9821
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1052
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
0.9569
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9571
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9571
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2577
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1903
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4213
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1737.6666
UserCPU time millis
43.221
UserCPU time millis testing
1.771
UserCPU time millis training
41.45