Difference between classification and regression in machine learning.

Question

Bhavesh Badani · Answer

Let’s break down the difference between classification and 
regression in a way that’s easy to grasp:
Classification:
Imagine you’re sorting fruits into different baskets based on their color. You have red apples, green apples, and yellow bananas.Goal: To put each fruit into the right basket (class).What it predicts: Discrete labels like “Apple” or “Banana.”Examples:
Email Spam Detection: Deciding whether an email is spam or not.Gender Prediction: Determining if a name belongs to a male or female.
Think of it as sorting things into neat categories, like organizing your closet.
Regression:
Picture yourself predicting the temperature for tomorrow. You look at past weather data and patterns.Goal: To estimate a continuous value (like temperature).What it predicts: Real numbers (e.g., 75°F).Examples:
House Price Prediction: Guessing the price of a house based on its features.Stock Market Forecast: Predicting stock prices.
It’s like drawing a line through scattered points on a graph to make predictions.
In summary:
Classification deals with categories (yes/no, spam/not spam).Regression deals with numbers (temperature, price).

forum

Difference between classification and regression in machine learning.

Mukul Goenka

Can you answer this question?

1 Answers

Liked By