Run
1867223

Run 1867223

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)_eta0.0160006766669674
mlr.classif.xgboost(4)_max_depth15
mlr.classif.xgboost(4)_min_child_weight8.61268968462649
mlr.classif.xgboost(4)_subsample0.93560027659405
mlr.classif.xgboost(4)_colsample_bytree0.467936203815043
mlr.classif.xgboost(4)_colsample_bylevel0.719407343305647
mlr.classif.xgboost(4)_lambda7.27430584463118
mlr.classif.xgboost(4)_alpha0.00589961748275402
mlr.classif.xgboost(4)_nrounds4408
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
0.9992
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9949
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9563
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13053.8278
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0086
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
0.9949
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9949
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9949
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0742
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0648
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2696
Cross-validation details (10-fold Crossvalidation)