Run
1867151

Run 1867151

Task 3889 (Supervised Classification) sylva_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)_eta0.00422076444086759
mlr.classif.xgboost(4)_subsample0.517390765203163
mlr.classif.xgboost(4)_lambda0.0161766615357391
mlr.classif.xgboost(4)_alpha0.361874926476834
mlr.classif.xgboost(4)_nrounds741
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
0.999
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9946
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9538
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12510.228
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0124
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9947
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9946
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9946
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1075
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0691
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2874
Cross-validation details (10-fold Crossvalidation)