Run
1861146

Run 1861146

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)_eta0.0143465631012881
mlr.classif.xgboost(4)_max_depth13
mlr.classif.xgboost(4)_min_child_weight22.8300075169099
mlr.classif.xgboost(4)_subsample0.581248808745295
mlr.classif.xgboost(4)_colsample_bytree0.203041304368526
mlr.classif.xgboost(4)_colsample_bylevel0.664641407551244
mlr.classif.xgboost(4)_lambda0.00938819276924441
mlr.classif.xgboost(4)_alpha1.44460285846153
mlr.classif.xgboost(4)_nrounds2460
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
0.9951
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9694
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9251
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30504.3564
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0487
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
0.9694
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9694
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9694
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1194
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1505
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3332
Cross-validation details (10-fold Crossvalidation)