Run
8079222

Run 8079222

Task 146012 (Supervised Classification) electricity Uploaded 18-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees794
mlr.classif.ranger(9)_mtry5
mlr.classif.ranger(9)_min.node.size1673
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.920350925507955
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.8912
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8142
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6186
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20496.2574
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2827
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
0.8142
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8149
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8149
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5785
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3642
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7369
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1781.5066
UserCPU time millis
157.443
UserCPU time millis testing
7.644
UserCPU time millis training
149.799