OpenML
7940065

Run 7940065

Task 219 (Supervised Classification) electricity Uploaded 04-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.xgboost(7)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(7)_eta0.0339903613119957
mlr.classif.xgboost(7)_gamma35.7454709449719
mlr.classif.xgboost(7)_max_depth14
mlr.classif.xgboost(7)_min_child_weight29.3271400922228
mlr.classif.xgboost(7)_subsample0.513213782478124
mlr.classif.xgboost(7)_colsample_bytree0.383401393890381
mlr.classif.xgboost(7)_colsample_bylevel0.408848720788956
mlr.classif.xgboost(7)_lambda0.274146155278282
mlr.classif.xgboost(7)_alpha0.26638591293685
mlr.classif.xgboost(7)_nrounds401
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
0.9087
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8294
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6493
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21791.5122
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2704
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
0.8304
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8306
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8306
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5535
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3494
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7069
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
187.173
UserCPU time millis
398.82
UserCPU time millis testing
0.35
UserCPU time millis training
398.47