Run
1861161

Run 1861161

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)_eta0.317711634141989
mlr.classif.xgboost(4)_max_depth14
mlr.classif.xgboost(4)_min_child_weight6.09497164769437
mlr.classif.xgboost(4)_subsample0.354479357763194
mlr.classif.xgboost(4)_colsample_bytree0.833584348205477
mlr.classif.xgboost(4)_colsample_bylevel0.712195825763047
mlr.classif.xgboost(4)_lambda63.7409072688272
mlr.classif.xgboost(4)_alpha367.540855823703
mlr.classif.xgboost(4)_nrounds587
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
0.9791
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9341
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.836
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21696.8414
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1689
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
0.9355
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9354
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9354
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4139
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.239
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5292
Cross-validation details (10-fold Crossvalidation)