Run
8589916

Run 8589916

Task 146012 (Supervised Classification) electricity Uploaded 29-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees326
mlr.classif.ranger(15)_mtry3
mlr.classif.ranger(15)_min.node.size37
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.19832365300972
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9335
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.851
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6942
Cross-validation details (10-fold Crossvalidation)
KB relative information score
24446.6248
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2406
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
0.8513
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8516
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8516
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4924
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.325
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6575
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1441.9841
UserCPU time millis
111.6
UserCPU time millis testing
5.51
UserCPU time millis training
106.09