Run
8694951

Run 8694951

Task 145855 (Supervised Classification) ozone-level-8hr Uploaded 26-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees191
mlr.classif.ranger(16)_mtry14
mlr.classif.ranger(16)_min.node.size629
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.668488275120035
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.8221
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9063
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1531.4655
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1099
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
0.9262
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2432
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2322
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9547
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1360.2413
UserCPU time millis
2.33
UserCPU time millis testing
0.132
UserCPU time millis training
2.198