Run
7940817

Run 7940817

Task 219 (Supervised Classification) electricity Uploaded 04-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.xgboost(7)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(7)_eta0.13521590202989
mlr.classif.xgboost(7)_gamma0.305280384369498
mlr.classif.xgboost(7)_min_child_weight4.11634438242979
mlr.classif.xgboost(7)_subsample0.469241383019835
mlr.classif.xgboost(7)_colsample_bytree0.779697208851576
mlr.classif.xgboost(7)_colsample_bylevel0.776975539885461
mlr.classif.xgboost(7)_lambda0.0278190371262562
mlr.classif.xgboost(7)_alpha98.427864260665
mlr.classif.xgboost(7)_nrounds2455
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
0.9111
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8326
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6563
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23185.7589
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2532
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
0.8329
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8333
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8333
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5181
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3449
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6979
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
188.9727
UserCPU time millis
572.97
UserCPU time millis testing
0.44
UserCPU time millis training
572.53