Run
1861580

Run 1861580

Task 3896 (Supervised Classification) ada_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)_eta0.0123584958839583
mlr.classif.xgboost(4)_subsample0.199489408521913
mlr.classif.xgboost(4)_lambda0.108085046575618
mlr.classif.xgboost(4)_alpha0.127652672805116
mlr.classif.xgboost(4)_nrounds847
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
0.8822
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8241
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5153
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1618.9127
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2311
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8224
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8301
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.8301
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6194
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3386
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.784
Cross-validation details (10-fold Crossvalidation)