Science and Education Publishing
American Journal of Applied Mathematics and Statistics
2333-4576
2
6
2014
12
19
Comparing the Performance of Zero Mean Classification Functions under Unequal Misclassification Cost
409
415
EN
Michael
Asamoah-Boaheng
School of Graduate Studies Research and Innovation, Kumasi Polytechnic, Box 854, Kumasi, Ghana
Atinuke O.
Adebanji
Nkansah
Ababio
AJAMS2014269
10.12691/ajams-2-6-9
2014
10
22
2014
12
04
2014
12
19
In this study the performance of Minimum Expected Cost of Misclassification method (MECM) and Quadratic Discriminant Function approach (QDF) were compared and evaluated for the case of equal mean discrimination under unequal misclassification cost. 30 pairs of Female liked sex twins extracted from Stocks (1933) ten (10) variate data on 832 twin children was used for evaluation. Discriminant functions were derived under each of the following misclassification cost ratios; 1: 1, 1: 2, 1: 3 and 1: 4 and their error rate estimates determined using the Cross Validation (CV) and Balanced Error Rate (BER) methods. Least Mean error rates were recorded under QDF method as compared to that of MECM. The error rate estimates showed the QDF outperforming the MECM in the provision of maximum separation between the two groups. Also the two classification rules were found to be sensitive to misclassification cost ratios exceeding 1:2.