Run
8661331

Run 8661331

Task 146012 (Supervised Classification) electricity Uploaded 21-12-2017 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.trees1615
mlr.classif.ranger(16)_mtry4
mlr.classif.ranger(16)_min.node.size1
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.161492305644788
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
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
0.9584
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8881
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7707
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27887.3697
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2036
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4886
Cross-validation details (10-fold Crossvalidation)
Number of instances
45312
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8882
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8884
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8884
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4166
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2907
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5881
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
846.0884
UserCPU time millis
1287.057
UserCPU time millis testing
54.093
UserCPU time millis training
1232.964