OpenML
8387094

Run 8387094

Task 145855 (Supervised Classification) ozone-level-8hr Uploaded 01-11-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees511
mlr.classif.ranger(13)_mtry2
mlr.classif.ranger(13)_min.node.size21
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.77553620794788
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
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
0.9115
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9169
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1291
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-681.1157
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0954
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
0.936
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9408
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3411
Cross-validation details (10-fold Crossvalidation)
Recall
0.9408
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8045
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2432
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2105
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8654
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1254.296
UserCPU time millis
27.709
UserCPU time millis testing
2.236
UserCPU time millis training
25.473