e-ISSN 2231-8542
ISSN 1511-3701
Nur Atikah Arbain, Mohd Sanusi Azmi, Sharifah Sakinah Syed Ahmad, Azah Kamilah Muda, Intan Ermahami A. Jalil and King Ming Tiang
Pertanika Journal of Tropical Agricultural Science, Volume 25, Issue S, June 2017
Keywords: Accuracy, Mean average precision, Ranking, Similarity distance
Published on: 12 Mac 2018
In recent years, many classification models have been developed and applied to increase their accuracy. The concept of distance between two samples or two variables is a fundamental concept in multivariate analysis. This paper proposed a tool that used different similarity distance approaches with ranking method based on Mean Average Precision (MAP). In this study, several similarity distance methods were used, such as Euclidean, Manhattan, Chebyshev, Sorenson and Cosine. The most suitable distance measure was based on the smallest value of distance between the samples. However, the real solution showed that the results were not accurate as and thus, MAP was considered the best approach to overcome current limitations.
ISSN 1511-3701
e-ISSN 2231-8542