Results from Noise Generation in Effort Sets

Ran kNN and kNN with Cliff instance selection for k = 1,3,5.

Noise Injection method:

for 10%, 20%,...,80% of train data:
Replace with a randomly selected effort score is not equal to the original value.
Perform similar transform with the top 3 attributes as selected by BORE also ensuring replaced value is not equal to the original value.

Results are MDMRE from 5x5 cross-validation.

albrecht
china
cocomo
desharnais
finnish
isbsg
maxwell
miyazaki94
nasa93