Run
1867176

Run 1867176

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)_eta0.0499810685254052
mlr.classif.xgboost(4)_max_depth14
mlr.classif.xgboost(4)_min_child_weight29.1142016695882
mlr.classif.xgboost(4)_subsample0.344587895204313
mlr.classif.xgboost(4)_colsample_bytree0.589098833035678
mlr.classif.xgboost(4)_colsample_bylevel0.622873842483386
mlr.classif.xgboost(4)_lambda0.00259780727347898
mlr.classif.xgboost(4)_alpha0.00656794315535415
mlr.classif.xgboost(4)_nrounds2042
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
0.9976
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.99
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9131
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11404.8505
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0206
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
0.99
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9901
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9901
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1782
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0906
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3771
Cross-validation details (10-fold Crossvalidation)