Run
1867419

Run 1867419

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)_eta0.0237006979232592
mlr.classif.xgboost(4)_max_depth11
mlr.classif.xgboost(4)_min_child_weight61.32490225623
mlr.classif.xgboost(4)_subsample0.770153913204558
mlr.classif.xgboost(4)_colsample_bytree0.814279495971277
mlr.classif.xgboost(4)_colsample_bylevel0.947984353406355
mlr.classif.xgboost(4)_lambda0.333943420021989
mlr.classif.xgboost(4)_alpha9.41007225118537
mlr.classif.xgboost(4)_nrounds1451
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
0.7451
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5718
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2152
Cross-validation details (10-fold Crossvalidation)
KB relative information score
31.2554
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4774
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
0.7516
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.642
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.642
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9665
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4815
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.969
Cross-validation details (10-fold Crossvalidation)