OpenML
7937642

Run 7937642

Task 219 (Supervised Classification) electricity Uploaded 02-10-2017 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.xgboost(7)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(7)_eta0.0105836825191188
mlr.classif.xgboost(7)_gamma599.552876960136
mlr.classif.xgboost(7)_max_depth5
mlr.classif.xgboost(7)_min_child_weight11.5303089971066
mlr.classif.xgboost(7)_subsample0.448342500743456
mlr.classif.xgboost(7)_colsample_bytree0.310380184091628
mlr.classif.xgboost(7)_colsample_bylevel0.873742986656725
mlr.classif.xgboost(7)_lambda41.7868848679664
mlr.classif.xgboost(7)_alpha758.192212246845
mlr.classif.xgboost(7)_nrounds1797
mlr.classif.xgboost(7)_verbose0
mlr.classif.xgboost(7)_openml.seed1
mlr.classif.xgboost(7)_openml.kindMersenne-Twister
mlr.classif.xgboost(7)_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
0.7789
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7486
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4839
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4714.1246
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4519
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
0.765
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7573
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.7573
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9249
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4591
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9288
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
170.0745
UserCPU time millis
601.87
UserCPU time millis testing
0.3
UserCPU time millis training
601.57