Run
505568

Run 505568

Task 3647 (Supervised Classification) rabe_266 Uploaded 14-01-2016 by Rafael Gomes Mantovani
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Flow

classif.xgboost(5)Learner classif.xgboost from package(s) xgboost.
classif.xgboost(5)_nrounds1
classif.xgboost(5)_seed1
classif.xgboost(5)_kindMersenne-Twister
classif.xgboost(5)_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
0.919
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9167
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8337
Cross-validation details (10-fold Crossvalidation)
KB relative information score
99.923
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0833
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4988
Cross-validation details (10-fold Crossvalidation)
Number of instances
120
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9213
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9167
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9983
Cross-validation details (10-fold Crossvalidation)
Recall
0.9167
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1671
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2887
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5781
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.095
UserCPU time millis testing
0.049
UserCPU time millis training
0.046