March 2021
Beginner to intermediate
261 pages
4h 7m
English
The preceding chapter presented a linear classification model called linear discriminant analysis (LDA), which distributes groups equally when covariance matrices are equivalent. Although the classifier is one of the optimum linear classification models, it has its limits. Foremost, we cannot estimate the dependent variable using a categorical variable. Second, we train and test the model under strict assumptions of normality. This chapter brings together an alternative linear classification ...
