Run
1867155

Run 1867155

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)_eta0.00293473923429384
mlr.classif.xgboost(4)_max_depth7
mlr.classif.xgboost(4)_min_child_weight6.50458208813453
mlr.classif.xgboost(4)_subsample0.501874534110539
mlr.classif.xgboost(4)_colsample_bytree0.382738433312625
mlr.classif.xgboost(4)_colsample_bylevel0.187684131087735
mlr.classif.xgboost(4)_lambda529.528446459163
mlr.classif.xgboost(4)_alpha75.9361686374213
mlr.classif.xgboost(4)_nrounds1643
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
0.9087
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-3943.5248
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1155
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
0.8807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9385
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9385
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9993
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1959
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8152
Cross-validation details (10-fold Crossvalidation)