Modeling fake reviews with regression
In this section, we will use the features we examined to attempt to model our data with linear regression.
Ordinary Least Squares regression
Ordinary Least Squares (OLS) linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. The goal of OLS is to find the linear function that best fits the data by minimizing the sum of squared errors between the observed values and the predicted values of the dependent variable.
The linear function is typically expressed as:
Y = β 0+ β 1 X 1+ β 2 X 2+ ... + β n X n+ ε
where Y is the dependent variable, X1, X2, ..., Xn are the independent variables, β0, β1, β2, ..., βn are the coefficients (or parameters) that measure the effect of each independent variable on the dependent variable, and ε is the error term (or residual...
