OpenML
1854926

Run 1854926

Task 3918 (Supervised Classification) pc1 Uploaded 27-03-2017 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)_eta0.00193870509579098
mlr.classif.xgboost(4)_min_child_weight39.6829633205599
mlr.classif.xgboost(4)_subsample0.56293321121484
mlr.classif.xgboost(4)_colsample_bytree0.48176639364101
mlr.classif.xgboost(4)_colsample_bylevel0.776742470450699
mlr.classif.xgboost(4)_lambda0.0633460663756947
mlr.classif.xgboost(4)_alpha0.483029275126851
mlr.classif.xgboost(4)_nrounds4187
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
0.7337
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8971
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-317.758
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1304
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1299
Cross-validation details (10-fold Crossvalidation)
Number of instances
1109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.866
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9306
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.9306
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0041
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2501
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.984
Cross-validation details (10-fold Crossvalidation)