Run
1861547

Run 1861547

Task 3896 (Supervised Classification) ada_agnostic 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)_eta0.0640669092995635
mlr.classif.xgboost(4)_subsample0.775506907748058
mlr.classif.xgboost(4)_lambda0.152986191421661
mlr.classif.xgboost(4)_alpha0.00199954433221207
mlr.classif.xgboost(4)_nrounds316
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
0.888
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8318
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5358
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1680.2923
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2269
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8306
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.838
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.838
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6081
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3346
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7748
Cross-validation details (10-fold Crossvalidation)