Run
572444

Run 572444

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 09-05-2016 by Rafael Gomes Mantovani
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Flow

classif.xgboost(9)Learner classif.xgboost from package(s) xgboost.
classif.xgboost(9)_openml.seed1
classif.xgboost(9)_openml.kindMersenne-Twister
classif.xgboost(9)_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.

20 Evaluation measures

Area under ROC curve
0.9582
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9909
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9208
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12770.7705
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0091
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
0.9909
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9909
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9909
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0787
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0954
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3969
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
6.356
UserCPU time millis testing
0.534
UserCPU time millis training
5.822