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Mukul Goenka

Mukul Goenka

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Bhavesh Badani

Bhavesh Badani

18-Apr-2024

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).
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