Run
1861577

Run 1861577

Task 3896 (Supervised Classification) ada_agnostic 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)_boostergblinear
mlr.classif.xgboost(4)_eta0.0300647173404496
mlr.classif.xgboost(4)_subsample0.548364594718441
mlr.classif.xgboost(4)_lambda0.0254316637596564
mlr.classif.xgboost(4)_alpha0.0258839163918983
mlr.classif.xgboost(4)_nrounds4663
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
0.8963
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8361
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5487
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1842.6756
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2142
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8348
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8415
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.8415
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5739
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3291
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.762
Cross-validation details (10-fold Crossvalidation)