Run
1861119

Run 1861119

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)_eta0.896494956846788
mlr.classif.xgboost(4)_max_depth11
mlr.classif.xgboost(4)_min_child_weight26.5986291676134
mlr.classif.xgboost(4)_subsample0.145477009331808
mlr.classif.xgboost(4)_colsample_bytree0.764694220386446
mlr.classif.xgboost(4)_colsample_bylevel0.43293108115904
mlr.classif.xgboost(4)_lambda0.258289318267767
mlr.classif.xgboost(4)_alpha0.173250730273405
mlr.classif.xgboost(4)_nrounds737
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
0.987
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9494
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8759
Cross-validation details (10-fold Crossvalidation)
KB relative information score
29247.4254
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0596
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
0.9494
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9495
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9495
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1461
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1984
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4392
Cross-validation details (10-fold Crossvalidation)