Noise Methods from here
Note: NB Results are nearly identical, they are not included to save space.
It is possible the culprit could be as simple as the set becoming is too heavily weighted in one direction or the other (defective/non-defective) after Feature/Instance Selection causing the decline in performance for some of the data-sets. However as of right now I cannot determine the cause of the performance decline for certain.
This didn't seem evident before we started comparing the results in this fashion. It is worthwhile to note however that the decline seems to kick into effect around the 30%+ Noise mark, which is still at least 10% higher than the study linked above suggests in the most generous of estimates of their data. However their reported figures are somewhat unclear and unspecific.
The results for RF and KNN mirror the results for NB so they were not included in this post. They can be found here... KNN RF