Run
1867153

Run 1867153

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)_eta0.829408397892139
mlr.classif.xgboost(4)_max_depth13
mlr.classif.xgboost(4)_min_child_weight61.0515450172093
mlr.classif.xgboost(4)_subsample0.334566854918376
mlr.classif.xgboost(4)_colsample_bytree0.0182432350702584
mlr.classif.xgboost(4)_colsample_bylevel0.704593093134463
mlr.classif.xgboost(4)_lambda0.836980042517216
mlr.classif.xgboost(4)_alpha1.04821983145897
mlr.classif.xgboost(4)_nrounds2333
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
0.9836
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9751
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7798
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7277.7849
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0413
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
0.9748
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9757
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9757
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3576
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1375
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5722
Cross-validation details (10-fold Crossvalidation)