OpenML
1861176

Run 1861176

Task 9977 (Supervised Classification) nomao 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)_eta0.631751079004078
mlr.classif.xgboost(4)_max_depth13
mlr.classif.xgboost(4)_min_child_weight116.057636816155
mlr.classif.xgboost(4)_subsample0.756236439826898
mlr.classif.xgboost(4)_colsample_bytree0.575961716938764
mlr.classif.xgboost(4)_colsample_bylevel0.827216042671353
mlr.classif.xgboost(4)_lambda154.477577400665
mlr.classif.xgboost(4)_alpha0.0855275564411263
mlr.classif.xgboost(4)_nrounds4867
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
0.9942
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9672
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9196
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30602.2786
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0462
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9672
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9672
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9672
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1131
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1566
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3466
Cross-validation details (10-fold Crossvalidation)