Posterior probabilities scores implementation
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When computing the scores for a cross-validated model usinf kfoldPredict function. What happens when the posterior probabilities score for two classes are equal?
For the scores generated for both my data classes, they are equal with respect to each other but different signs. see below.
-0.975785235458494 0.975785235458494
0.666850510204870 -0.666850510204870
-0.983822630177369 0.983822630177369
-0.732675092118859 0.732675092118859
-0.842372054768027 0.842372054768027
-0.661193781557410 0.661193781557410
-0.790509351855946 0.790509351855946
-0.0863164135990770 0.0863164135990770
-1.00014136811904 1.00014136811904
0.0436985829428482 -0.0436985829428482
..... this goes on for 842 rows.
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