Run
1861109

Run 1861109

Task 9977 (Supervised Classification) nomao Uploaded 28-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.xgboost(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.163091866938782
mlr.classif.xgboost(4)_max_depth12
mlr.classif.xgboost(4)_min_child_weight1.78281679311203
mlr.classif.xgboost(4)_subsample0.242853116476908
mlr.classif.xgboost(4)_colsample_bytree0.838316595880315
mlr.classif.xgboost(4)_colsample_bylevel0.146621888969094
mlr.classif.xgboost(4)_lambda0.316706954863469
mlr.classif.xgboost(4)_alpha174.648577296134
mlr.classif.xgboost(4)_nrounds58
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
0.9815
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9339
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8354
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23001.4224
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1507
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
0.935
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9351
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9351
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3693
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2286
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.506
Cross-validation details (10-fold Crossvalidation)