Run
8563983

Run 8563983

Task 145855 (Supervised Classification) ozone-level-8hr Uploaded 27-11-2017 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.trees1584
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size542
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.17430442685727
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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9063
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2.8749
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1184
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
0.8777
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9369
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3411
Cross-validation details (10-fold Crossvalidation)
Recall
0.9369
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9978
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2432
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2432
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1926.5058
UserCPU time millis
3.674
UserCPU time millis testing
0.51
UserCPU time millis training
3.164