Run
1867218

Run 1867218

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)_eta0.00321472045485815
mlr.classif.xgboost(4)_subsample0.976223999285139
mlr.classif.xgboost(4)_lambda50.8047658201636
mlr.classif.xgboost(4)_alpha165.517090035528
mlr.classif.xgboost(4)_nrounds4986
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
0.9937
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.979
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8124
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8573.8023
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0344
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
0.9788
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9796
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9796
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2976
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1206
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5018
Cross-validation details (10-fold Crossvalidation)