OpenML
2413315

Run 2413315

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 13-06-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.xgboost(6)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(6)_boostergblinear
mlr.classif.xgboost(6)_eta0.0608371497083829
mlr.classif.xgboost(6)_subsample0.283120652288198
mlr.classif.xgboost(6)_lambda34.7293767432822
mlr.classif.xgboost(6)_alpha0.0474127578245486
mlr.classif.xgboost(6)_nrounds1329
mlr.classif.xgboost(6)_verbose0
mlr.classif.xgboost(6)_openml.seed1
mlr.classif.xgboost(6)_openml.kindMersenne-Twister
mlr.classif.xgboost(6)_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.

21 Evaluation measures

Area under ROC curve
0.9982
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9899
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9129
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11404.6423
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0186
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
0.9899
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9899
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9899
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1608
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0869
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3614
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1800.8493
UserCPU time millis
201.324
UserCPU time millis testing
0.097
UserCPU time millis training
201.227