Run
509487

Run 509487

Task 3587 (Supervised Classification) pwLinear Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.glmboost(2)Learner classif.glmboost from package(s) mboost.
classif.glmboost(2)_familyBinomial
classif.glmboost(2)_mmstop
classif.glmboost(2)_seed1
classif.glmboost(2)_kindMersenne-Twister
classif.glmboost(2)_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
0.8338
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8346
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.669
Cross-validation details (10-fold Crossvalidation)
KB relative information score
133.9134
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.165
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4996
Cross-validation details (10-fold Crossvalidation)
Number of instances
200
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8363
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.835
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9994
Cross-validation details (10-fold Crossvalidation)
Recall
0.835
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3303
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4998
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4062
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8128
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.886
UserCPU time millis testing
0.054
UserCPU time millis training
0.832