Run
8605149

Run 8605149

Task 146012 (Supervised Classification) electricity Uploaded 02-12-2017 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.trees574
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size21796
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.91754716464784
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
0.8079
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7467
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4818
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7705.1162
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4225
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
0.7726
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7583
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.7583
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8648
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4395
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8892
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1778.0111
UserCPU time millis
23.117
UserCPU time millis testing
3.073
UserCPU time millis training
20.044