OpenML
7940050

Run 7940050

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)_eta0.0787108821143071
mlr.classif.xgboost(7)_gamma0.29801776733005
mlr.classif.xgboost(7)_max_depth8
mlr.classif.xgboost(7)_min_child_weight11.2978632560483
mlr.classif.xgboost(7)_subsample0.328556051547639
mlr.classif.xgboost(7)_colsample_bytree0.847663020715117
mlr.classif.xgboost(7)_colsample_bylevel0.901356369443238
mlr.classif.xgboost(7)_lambda34.8393399285662
mlr.classif.xgboost(7)_alpha0.992624468685141
mlr.classif.xgboost(7)_nrounds2308
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
0.9715
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9122
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8203
Cross-validation details (10-fold Crossvalidation)
KB relative information score
32908.4727
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.144
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
0.9122
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9123
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.9123
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2947
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2552
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5163
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
199.3334
UserCPU time millis
2141.82
UserCPU time millis testing
3.46
UserCPU time millis training
2138.36