Run
1861524

Run 1861524

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)_eta0.0089767494668438
mlr.classif.xgboost(4)_subsample0.379372837371193
mlr.classif.xgboost(4)_lambda0.0444940216159768
mlr.classif.xgboost(4)_alpha0.0185355188000976
mlr.classif.xgboost(4)_nrounds214
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
0.869
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8151
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4882
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1344.133
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2539
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
0.8134
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8227
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.8227
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6803
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3484
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8066
Cross-validation details (10-fold Crossvalidation)