%A Dellosa, Rhowel M
%D 2023
%T EVALUATING THE PERFORMANCE OF SEVERAL ALGORITHMS USING WEKA IN RED WINE QUALITY
%K
%X The study aimed to evaluate the performance of various regression algorithms performed at predicted values. WEKA program and a dataset from a reputable source were utilized. The study was initiated to compare the performance of several regression algorithms. The result shows that the KStar (r = 0.6043) has the highest correlation coefficient, followed by Gaussian Processes (r = 0.5908) and followed by M5Rules (r= 0.5904). It also shows that the Linear Regression (r =0.5872) has good results as well as the SMOreg (r = 0.5623). All of the 11 functions, rules and lazy algorithms have moderate performance except for the ZeroR which resulted in a negative correlation. Future work may consider the use of WEKA in other similar prediction analyses.
%U http://jatm.ctu.edu.ph/index.php/ttj/article/view/364
%J Journal of Agriculture and Technology Management
%0 Journal Article
%P 10007%V 26
%N 1
%@ 2599-4980
%8 2023-06-26