OpenML
7939018

Run 7939018

Task 219 (Supervised Classification) electricity Uploaded 03-10-2017 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)_eta0.573573257291777
mlr.classif.xgboost(7)_gamma0.512496237420047
mlr.classif.xgboost(7)_max_depth9
mlr.classif.xgboost(7)_min_child_weight1.21269668817823
mlr.classif.xgboost(7)_subsample0.625363218807615
mlr.classif.xgboost(7)_colsample_bytree0.658484985120595
mlr.classif.xgboost(7)_colsample_bylevel0.795757205039263
mlr.classif.xgboost(7)_lambda0.855279262613247
mlr.classif.xgboost(7)_alpha0.179810386220441
mlr.classif.xgboost(7)_nrounds3491
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
0.9813
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9321
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8609
Cross-validation details (10-fold Crossvalidation)
KB relative information score
37853.0213
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.083
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
0.932
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9321
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.9321
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1699
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2279
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.461
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
168.7458
UserCPU time millis
4068.83
UserCPU time millis testing
1.12
UserCPU time millis training
4067.71