Run
1867413

Run 1867413

Task 125923 (Supervised Classification) Australian 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)_eta0.0625365215442143
mlr.classif.xgboost(4)_max_depth2
mlr.classif.xgboost(4)_min_child_weight1.55310462904487
mlr.classif.xgboost(4)_subsample0.702018714183941
mlr.classif.xgboost(4)_colsample_bytree0.808286261977628
mlr.classif.xgboost(4)_colsample_bylevel0.207401806488633
mlr.classif.xgboost(4)_lambda6.1597234999871
mlr.classif.xgboost(4)_alpha0.00344898195086123
mlr.classif.xgboost(4)_nrounds3548
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
0.9294
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8636
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7235
Cross-validation details (10-fold Crossvalidation)
KB relative information score
470.967
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1624
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8636
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8638
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8638
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3288
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3174
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6387
Cross-validation details (10-fold Crossvalidation)