Run
1860843

Run 1860843

Task 9914 (Supervised Classification) wilt 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)_eta0.253864794465681
mlr.classif.xgboost(4)_max_depth11
mlr.classif.xgboost(4)_min_child_weight13.9796436969385
mlr.classif.xgboost(4)_subsample0.882274165633135
mlr.classif.xgboost(4)_colsample_bytree0.610125568229705
mlr.classif.xgboost(4)_colsample_bylevel0.511478210333735
mlr.classif.xgboost(4)_lambda0.00124460206197682
mlr.classif.xgboost(4)_alpha5.14620562242704
mlr.classif.xgboost(4)_nrounds2324
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
0.9902
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9811
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.806
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3160.0096
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.029
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9813
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.982
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.982
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2838
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1141
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.505
Cross-validation details (10-fold Crossvalidation)