Run
4404539

Run 4404539

Task 146082 (Supervised Classification) musk Uploaded 06-07-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1398
mlr.classif.ranger(13)_mtry27
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.852441477752291
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
1
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
1
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6465.2304
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0082
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2608
Cross-validation details (10-fold Crossvalidation)
Number of instances
6598
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
1
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
1
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6204
Cross-validation details (10-fold Crossvalidation)
Recall
1
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0314
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3611
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0209
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.058
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1277.0724
UserCPU time millis
491.09
UserCPU time millis testing
8.801
UserCPU time millis training
482.289