Run
1867168

Run 1867168

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)_eta0.191992186074479
mlr.classif.xgboost(4)_min_child_weight3.59476610090294
mlr.classif.xgboost(4)_subsample0.443987585930154
mlr.classif.xgboost(4)_colsample_bytree0.868114433949813
mlr.classif.xgboost(4)_colsample_bylevel0.746598894475028
mlr.classif.xgboost(4)_lambda786.791268964943
mlr.classif.xgboost(4)_alpha85.6849574446209
mlr.classif.xgboost(4)_nrounds855
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
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9889
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9014
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7931.1011
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0463
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
0.989
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9892
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4002
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1062
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4419
Cross-validation details (10-fold Crossvalidation)