Logistic Regression

• There is no closed for solution like Linear Regression
• The equation is same as Linear Regression
• For N-dimensional data, the Decision Boundary will be (N-1) dimensional hyperplane

[!def] Logistic Regression Formula
$$
y = \sigma (ax + b)
$$

• Here $\sigma$ is the Sigmoid Function
• if y >= Decision Boundary (usually 0.5) then positive
• else negative