Run
7958320

Run 7958320

Task 146012 (Supervised Classification) electricity Uploaded 16-10-2017 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.trees1319
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size17043
mlr.classif.ranger(9)_sample.fraction0.7748184483964
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
0.821
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7545
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4964
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11268.3167
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3864
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
0.7737
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7637
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.7637
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7907
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4193
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8484
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1852.5406
UserCPU time millis
73.951
UserCPU time millis testing
8.737
UserCPU time millis training
65.214