Run
8559335

Run 8559335

Task 146012 (Supervised Classification) electricity Uploaded 25-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees474
mlr.classif.ranger(16)_mtry8
mlr.classif.ranger(16)_min.node.size5
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.231795002589934
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.9656
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9009
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.797
Cross-validation details (10-fold Crossvalidation)
KB relative information score
29874.0254
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1805
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
0.9009
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.901
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.901
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3695
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2745
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5554
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1360.0523
UserCPU time millis
307.39
UserCPU time millis testing
9.743
UserCPU time millis training
297.647