Run
1867463

Run 1867463

Task 125923 (Supervised Classification) Australian Uploaded 28-03-2017 by Philipp Probst
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(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.0457878449754637
mlr.classif.xgboost(4)_max_depth9
mlr.classif.xgboost(4)_min_child_weight1.4555827923879
mlr.classif.xgboost(4)_subsample0.900513026840054
mlr.classif.xgboost(4)_colsample_bytree0.942252448061481
mlr.classif.xgboost(4)_colsample_bylevel0.956311105517671
mlr.classif.xgboost(4)_lambda0.00306206097871679
mlr.classif.xgboost(4)_alpha6.06828575145356
mlr.classif.xgboost(4)_nrounds3642
mlr.classif.xgboost(4)_verbose0
mlr.classif.xgboost(4)_openml.seed1
mlr.classif.xgboost(4)_openml.kindMersenne-Twister
mlr.classif.xgboost(4)_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.

17 Evaluation measures

Area under ROC curve
0.9434
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8739
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7448
Cross-validation details (10-fold Crossvalidation)
KB relative information score
453.9884
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1797
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.874
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8739
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8739
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2998
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6034
Cross-validation details (10-fold Crossvalidation)