OpenML
7946104

Run 7946104

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)_eta0.232188846713304
mlr.classif.xgboost(7)_gamma0.00806838972604303
mlr.classif.xgboost(7)_max_depth3
mlr.classif.xgboost(7)_min_child_weight3.81323371833651
mlr.classif.xgboost(7)_subsample0.921358566056006
mlr.classif.xgboost(7)_colsample_bytree0.472217047587037
mlr.classif.xgboost(7)_colsample_bylevel0.436774473637342
mlr.classif.xgboost(7)_lambda887.25945730299
mlr.classif.xgboost(7)_alpha88.5699223238852
mlr.classif.xgboost(7)_nrounds1153
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
0.9014
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8241
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6387
Cross-validation details (10-fold Crossvalidation)
KB relative information score
22107.0611
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.265
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
0.8248
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8252
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8252
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5423
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3538
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7158
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
179.9254
UserCPU time millis
303.33
UserCPU time millis testing
0.43
UserCPU time millis training
302.9