Run
8060036

Run 8060036

Task 146012 (Supervised Classification) electricity Uploaded 18-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees54
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size1
mlr.classif.ranger(9)_sample.fraction0.519094507931732
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
0.9722
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9123
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8206
Cross-validation details (10-fold Crossvalidation)
KB relative information score
31093.635
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1672
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
0.9123
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9123
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.9123
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3423
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2608
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5276
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1853.454
UserCPU time millis
30.993
UserCPU time millis testing
1.66
UserCPU time millis training
29.333