Run
7958376

Run 7958376

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.trees987
mlr.classif.ranger(9)_mtry8
mlr.classif.ranger(9)_min.node.size6596
mlr.classif.ranger(9)_sample.fraction0.404549742443487
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
0.8335
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7485
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4838
Cross-validation details (10-fold Crossvalidation)
KB relative information score
15711.742
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3337
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
0.7652
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7574
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.7574
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.683
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4053
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8201
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1842.1882
UserCPU time millis
73.143
UserCPU time millis testing
6.388
UserCPU time millis training
66.755