Run
1869117

Run 1869117

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)_boostergblinear
mlr.classif.xgboost(4)_eta0.0315234980830574
mlr.classif.xgboost(4)_subsample0.752113280654885
mlr.classif.xgboost(4)_lambda324.573080762043
mlr.classif.xgboost(4)_alpha0.891477085517482
mlr.classif.xgboost(4)_nrounds4985
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
0.9803
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9329
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8344
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23907.1501
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1346
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
0.9329
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9335
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9335
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3298
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2283
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5055
Cross-validation details (10-fold Crossvalidation)