Run
1867444

Run 1867444

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)_eta0.00117123523720156
mlr.classif.xgboost(4)_max_depth10
mlr.classif.xgboost(4)_min_child_weight1.68587624997499
mlr.classif.xgboost(4)_subsample0.864068489219062
mlr.classif.xgboost(4)_colsample_bytree0.66565951355733
mlr.classif.xgboost(4)_colsample_bylevel0.302655469393358
mlr.classif.xgboost(4)_lambda0.00861154347150071
mlr.classif.xgboost(4)_alpha4.28985014677799
mlr.classif.xgboost(4)_nrounds1144
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
0.929
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8574
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7106
Cross-validation details (10-fold Crossvalidation)
KB relative information score
241.0939
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3505
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
0.8583
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.858
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.858
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7095
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.372
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7486
Cross-validation details (10-fold Crossvalidation)