In this chapter, we will discuss some of the classification methods such as logistic regression, kernel ridge regression (KRR), the kNN method, and SVM approaches.
Exploring various classification methods
Logistic regression
Logistic regression determines the degree of dependence between the categorical dependent and one or more independent variables by using the logistic function. It aims to find the values of the coefficients for the input variables, as with linear regression. The difference, in the case of logistic regression, is that the output value is converted by using a non-linear (logistic) function. The logistic function essentially looks like a big letter S and converts any value to a number in a range from 0 to...
