Run
508916

Run 508916

Task 3661 (Supervised Classification) cpu Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.xgboost(4)Learner classif.xgboost from package(s) xgboost.
classif.xgboost(4)_nrounds1
classif.xgboost(4)_seed1
classif.xgboost(4)_kindMersenne-Twister
classif.xgboost(4)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.8357
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8756
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6714
Cross-validation details (10-fold Crossvalidation)
KB relative information score
132.2675
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1244
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3797
Cross-validation details (10-fold Crossvalidation)
Number of instances
209
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8756
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8756
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8205
Cross-validation details (10-fold Crossvalidation)
Recall
0.8756
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3276
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4351
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3527
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8107
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
14.986
UserCPU time millis testing
0.426
UserCPU time millis training
14.56