OpenML
7944980

Run 7944980

Task 219 (Supervised Classification) electricity Uploaded 08-10-2017 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)_eta0.00308077521671329
mlr.classif.xgboost(7)_gamma1.75010311469028
mlr.classif.xgboost(7)_max_depth1
mlr.classif.xgboost(7)_min_child_weight1.06856526778543
mlr.classif.xgboost(7)_subsample0.872328954120167
mlr.classif.xgboost(7)_colsample_bytree0.843952246569097
mlr.classif.xgboost(7)_colsample_bylevel0.456577645242214
mlr.classif.xgboost(7)_lambda0.00710424402884312
mlr.classif.xgboost(7)_alpha0.0381280372379751
mlr.classif.xgboost(7)_nrounds253
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
0.795
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7506
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.489
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4944.4798
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4494
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
0.7727
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7609
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.7609
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9198
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4559
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9223
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
191.6179
UserCPU time millis
49.54
UserCPU time millis testing
0.29
UserCPU time millis training
49.25