This study aims to determine
the best model that achieves high
rates of classification accuracy as
possible, taking into account the
hypothesis of all models and
conditions applied to the data
available.
In this study the comparison
between logistic regression and
analysis of differentiation has
been done in order to reach the
best model that can be used in the
classification of the data which
gives the highest accuracy rating.
The study concluded that the
logistic regression analysis of is
better than discriminant analysie
differentiation, in the study which
has been applied to a group of
influential public health data.