Run
1867205

Run 1867205

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)_boostergblinear
mlr.classif.xgboost(4)_eta0.382063457402822
mlr.classif.xgboost(4)_subsample0.727265610871836
mlr.classif.xgboost(4)_lambda0.226499737580312
mlr.classif.xgboost(4)_alpha0.278678499495642
mlr.classif.xgboost(4)_nrounds3850
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
0.9991
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.995
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9572
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13033.4726
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0086
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
0.9951
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.995
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.995
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.074
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0645
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2686
Cross-validation details (10-fold Crossvalidation)