Run
7947199

Run 7947199

Task 219 (Supervised Classification) electricity Uploaded 09-10-2017 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)_eta0.501635902644525
mlr.classif.xgboost(7)_gamma2.88324796228146
mlr.classif.xgboost(7)_max_depth13
mlr.classif.xgboost(7)_min_child_weight64.3919881636619
mlr.classif.xgboost(7)_subsample0.12822315627709
mlr.classif.xgboost(7)_colsample_bytree0.750328262522817
mlr.classif.xgboost(7)_colsample_bylevel0.499030365236104
mlr.classif.xgboost(7)_lambda0.00300222951039285
mlr.classif.xgboost(7)_alpha240.217318547625
mlr.classif.xgboost(7)_nrounds890
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
0.8145
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7551
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4965
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11060.9073
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3895
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
0.7667
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.762
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.762
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7971
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4215
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8527
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
177.8899
Total cost
UserCPU time millis
165.6
UserCPU time millis testing
0.21
UserCPU time millis training
165.39