Run
7941289

Run 7941289

Task 219 (Supervised Classification) electricity Uploaded 05-10-2017 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)_eta0.6726642299015
mlr.classif.xgboost(7)_gamma0.109065489266283
mlr.classif.xgboost(7)_max_depth5
mlr.classif.xgboost(7)_min_child_weight23.4980106252133
mlr.classif.xgboost(7)_subsample0.857557195075788
mlr.classif.xgboost(7)_colsample_bytree0.279853205196559
mlr.classif.xgboost(7)_colsample_bylevel0.634452528133988
mlr.classif.xgboost(7)_lambda1.7232252738989
mlr.classif.xgboost(7)_alpha917.610696839513
mlr.classif.xgboost(7)_nrounds1618
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
0.8194
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7548
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4964
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13169.8009
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3656
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
0.7704
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.763
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.763
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7483
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4118
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8332
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
170.7337
UserCPU time millis
288.79
UserCPU time millis testing
0.25
UserCPU time millis training
288.54