Run
1861140

Run 1861140

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)_boostergblinear
mlr.classif.xgboost(4)_eta0.0395418004032806
mlr.classif.xgboost(4)_subsample0.229905879194848
mlr.classif.xgboost(4)_lambda2.60452837119908
mlr.classif.xgboost(4)_alpha7.17794077741524
mlr.classif.xgboost(4)_nrounds3929
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
0.9857
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9445
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8639
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27282.7149
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0878
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
0.9445
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9446
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9446
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2151
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2021
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4473
Cross-validation details (10-fold Crossvalidation)