Run
7969260

Run 7969260

Task 146012 (Supervised Classification) electricity Uploaded 17-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees782
mlr.classif.ranger(9)_mtry6
mlr.classif.ranger(9)_min.node.size3404
mlr.classif.ranger(9)_sample.fraction0.202171818702482
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
0.847
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7526
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.492
Cross-validation details (10-fold Crossvalidation)
KB relative information score
15410.3791
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3384
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
0.7688
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7611
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.7611
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6925
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4042
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8177
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1849.3014
UserCPU time millis
44.426
UserCPU time millis testing
4.845
UserCPU time millis training
39.581