Run
1861168

Run 1861168

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)_eta0.241300518754774
mlr.classif.xgboost(4)_subsample0.273559379717335
mlr.classif.xgboost(4)_lambda8.79056469894305
mlr.classif.xgboost(4)_alpha0.0120549912678941
mlr.classif.xgboost(4)_nrounds2482
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
0.9859
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9453
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8658
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27362.9731
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0866
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
0.9453
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9454
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9454
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2122
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2013
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4457
Cross-validation details (10-fold Crossvalidation)