Similar to Logistic Regression, but limits to range (0,1) indicating [false] or [true], used for Binary or Multi Class Classification

It is based on the Sigmoid Function Mathematically, i.e: ==Basically a linear regression model fit onto a sigmoid function

Performance Metrics Used: Classification Performance

Sigmoid function limits all values of function [f(x)] onto range - [0, 1]

Uses the ["One VS Rest"] Concept, where each Category forms a Binary classification between itself and the rest:

• Each Category makes a "prediction" of whether it lies in that category or not using sets of Binary Classification
• Category with highest prediction wins.