Run
8833680

Run 8833680

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.trees135
mlr.classif.ranger(9)_mtry15
mlr.classif.ranger(9)_min.node.size38
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.383259774395265
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
0.9916
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9593
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28291.7612
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0778
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
0.9592
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9594
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9594
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1907
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1778
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3936
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1848.916
UserCPU time millis
71.848
UserCPU time millis testing
1.434
UserCPU time millis training
70.414