Run
1867166

Run 1867166

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)_eta0.00212459826853842
mlr.classif.xgboost(4)_max_depth1
mlr.classif.xgboost(4)_min_child_weight14.9876538496188
mlr.classif.xgboost(4)_subsample0.916250088810921
mlr.classif.xgboost(4)_colsample_bytree0.198260640259832
mlr.classif.xgboost(4)_colsample_bylevel0.889826071914285
mlr.classif.xgboost(4)_lambda0.111483197401367
mlr.classif.xgboost(4)_alpha0.248557098463588
mlr.classif.xgboost(4)_nrounds2841
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
0.9977
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9836
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8517
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7438.3337
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0464
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
0.9842
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9844
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9844
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4011
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1158
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4818
Cross-validation details (10-fold Crossvalidation)