  In this research work, a comparative analysis was carried out using
classification methods such as: Discriminant Analysis and Logistic Regression
to subsequently predict whether a person may have the presence of early stage
diabetes. For this purpose, use was made of a database of the UC IRVINE
platform of the year 2020 where specific variables that influence diabetes were
used for a better result. Likewise in terms of methodology, the corresponding
analysis was performed for each of the 3 classification methods and then take
them to a comparative table and analyze the results obtained. Finally we can
add that the majority of the studies carried out applying the classification
methods to the diseases can be clearly seen that there is a certain attachment
and more use of the logistic regression classification method, on the other
hand, in the results we could see significant differences in terms of the 2
classification methods that were applied, which was valuable information for
later drawing final conclusions.
