Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

T. C. NokeriData Science Revealedhttps://doi.org/10.1007/978-1-4842-6870-4_6

6. Dimension Reduction and Multivariate Analysis Using Linear Discriminant Analysis

Tshepo Chris Nokeri¹  

(1)

Pretoria, South Africa

 

The preceding chapter presented a classification method known as logistic regression. It solves binary classification problems. Multinomial logistic regression (MLR) is an extension of logistic regression using the Softmax function; instead of the Sigmoid function, it applies the cross-entropy loss function. It is a form of logistic regression used to predict a target variable with more than two classes. It differs from linear discriminant analysis (LDA) ...