Run
1867170

Run 1867170

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)_eta0.709292940234858
mlr.classif.xgboost(4)_subsample0.484652765723877
mlr.classif.xgboost(4)_lambda23.7258285865308
mlr.classif.xgboost(4)_alpha8.7255581799582
mlr.classif.xgboost(4)_nrounds1778
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
0.9978
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9894
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9084
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11502.9123
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0178
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
0.9894
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9894
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9894
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1539
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0903
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3757
Cross-validation details (10-fold Crossvalidation)