Run
1857840

Run 1857840

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 27-03-2017 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)_eta0.00627695719740363
mlr.classif.xgboost(4)_max_depth5
mlr.classif.xgboost(4)_min_child_weight11.6496273183092
mlr.classif.xgboost(4)_subsample0.344249765877612
mlr.classif.xgboost(4)_colsample_bytree0.869509116979316
mlr.classif.xgboost(4)_colsample_bylevel0.869707215344533
mlr.classif.xgboost(4)_lambda2.90805796207371
mlr.classif.xgboost(4)_alpha0.679786028897775
mlr.classif.xgboost(4)_nrounds2448
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
0.9551
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8833
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7637
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8611.2004
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2303
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8842
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8837
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8837
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4655
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.302
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6072
Cross-validation details (10-fold Crossvalidation)