Run
8064594

Run 8064594

Task 145855 (Supervised Classification) ozone-level-8hr Uploaded 18-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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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)_mtry14
mlr.classif.ranger(9)_min.node.size1
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.766325814835727
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
0.9137
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9276
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2697
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-580.904
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0902
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1186
Cross-validation details (10-fold Crossvalidation)
Number of instances
2534
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9323
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9436
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3411
Cross-validation details (10-fold Crossvalidation)
Recall
0.9436
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7602
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2432
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2053
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8439
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1804.6497
UserCPU time millis
40.464
UserCPU time millis testing
1.622
UserCPU time millis training
38.842