Run
1861098

Run 1861098

Task 9977 (Supervised Classification) nomao 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)_eta0.958504441534755
mlr.classif.xgboost(4)_max_depth13
mlr.classif.xgboost(4)_min_child_weight4.46022499837578
mlr.classif.xgboost(4)_subsample0.199094336945564
mlr.classif.xgboost(4)_colsample_bytree0.074248488759622
mlr.classif.xgboost(4)_colsample_bylevel0.255959755275398
mlr.classif.xgboost(4)_lambda0.00773333359310331
mlr.classif.xgboost(4)_alpha130.909636018076
mlr.classif.xgboost(4)_nrounds1112
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
0.9745
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9217
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8064
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23319.9544
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1394
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9216
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9225
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9225
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3417
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.24
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5313
Cross-validation details (10-fold Crossvalidation)