Run
7977890

Run 7977890

Task 146012 (Supervised Classification) electricity Uploaded 17-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees5
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size3
mlr.classif.ranger(9)_sample.fraction0.832157786935568
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
0.938
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8719
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7378
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28122.1193
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1961
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
0.8719
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.872
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.872
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4013
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3086
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6244
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1845.3975
UserCPU time millis
3.706
UserCPU time millis testing
0.226
UserCPU time millis training
3.48