Run
1867180

Run 1867180

Task 3889 (Supervised Classification) sylva_agnostic 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)_eta0.00255327547340215
mlr.classif.xgboost(4)_max_depth14
mlr.classif.xgboost(4)_min_child_weight22.2041675354857
mlr.classif.xgboost(4)_subsample0.57393463011831
mlr.classif.xgboost(4)_colsample_bytree0.418568121735007
mlr.classif.xgboost(4)_colsample_bylevel0.948846987215802
mlr.classif.xgboost(4)_lambda0.00475370646967687
mlr.classif.xgboost(4)_alpha30.5671018820627
mlr.classif.xgboost(4)_nrounds1230
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
0.9966
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.983
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8463
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5798.4402
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0649
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9833
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9837
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9837
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5612
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1205
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5015
Cross-validation details (10-fold Crossvalidation)