OpenML
8388751

Run 8388751

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.trees1393
mlr.classif.ranger(13)_mtry1
mlr.classif.ranger(13)_min.node.size387
mlr.classif.ranger(13)_sample.fraction0.594030042015947
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
0.8927
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8106
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6101
Cross-validation details (10-fold Crossvalidation)
KB relative information score
17503.1353
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.32
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
0.815
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8133
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8133
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6548
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3731
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7548
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1253.5502
UserCPU time millis
1043.596
UserCPU time millis testing
79.553
UserCPU time millis training
964.043