OpenML
1867580

Run 1867580

Task 3918 (Supervised Classification) pc1 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)_eta0.106999150540836
mlr.classif.xgboost(4)_max_depth3
mlr.classif.xgboost(4)_min_child_weight2.03513334111159
mlr.classif.xgboost(4)_subsample0.845302215614356
mlr.classif.xgboost(4)_colsample_bytree0.452737735351548
mlr.classif.xgboost(4)_colsample_bylevel0.306415549479425
mlr.classif.xgboost(4)_lambda7.81487973323654
mlr.classif.xgboost(4)_alpha0.0380679185528764
mlr.classif.xgboost(4)_nrounds2113
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
0.8432
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9197
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3253
Cross-validation details (10-fold Crossvalidation)
KB relative information score
122.2437
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0817
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
0.9151
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.927
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.927
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.629
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.241
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9482
Cross-validation details (10-fold Crossvalidation)