Run
7848131

Run 7848131

Task 146012 (Supervised Classification) electricity Uploaded 10-09-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot23 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.xgboost(9)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(9)_eta0.057237777904007
mlr.classif.xgboost(9)_max_depth14
mlr.classif.xgboost(9)_min_child_weight3.94051810037324
mlr.classif.xgboost(9)_subsample0.895258497656323
mlr.classif.xgboost(9)_colsample_bytree0.244855988770723
mlr.classif.xgboost(9)_colsample_bylevel0.975135024636984
mlr.classif.xgboost(9)_lambda0.552891503842398
mlr.classif.xgboost(9)_alpha19.9901663244433
mlr.classif.xgboost(9)_nthread1
mlr.classif.xgboost(9)_nrounds762
mlr.classif.xgboost(9)_verbose0
mlr.classif.xgboost(9)_openml.seed1
mlr.classif.xgboost(9)_openml.kindMersenne-Twister
mlr.classif.xgboost(9)_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
0.9448
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8705
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7345
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26583.3464
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2172
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
0.8706
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8709
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8709
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4445
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3078
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6227
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1249.2447
UserCPU time millis
925.433
UserCPU time millis testing
15.578
UserCPU time millis training
909.855