OpenML
8388897

Run 8388897

Task 219 (Supervised Classification) electricity 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.trees680
mlr.classif.ranger(13)_mtry4
mlr.classif.ranger(13)_min.node.size2
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.108124837744981
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
0.9492
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8748
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7432
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26443.5352
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2193
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
0.8749
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8751
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8751
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4489
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3049
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6168
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1254.4102
UserCPU time millis
870.79
UserCPU time millis testing
59.32
UserCPU time millis training
811.47