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    Home»Machine Learning»“Linear Regression vs Decision Tree — Which Machine Learning Model to Use?” | by Yee | Feb, 2025
    Machine Learning

    “Linear Regression vs Decision Tree — Which Machine Learning Model to Use?” | by Yee | Feb, 2025

    Team_AIBS NewsBy Team_AIBS NewsFebruary 21, 2025No Comments1 Min Read
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    “Easy & Clear Comparability for Newcomers”

    📌 Use it while you wish to predict a quantity (steady worth).
    For instance:

    • Predict home costs based mostly on measurement.
    • Predict gross sales based mostly on advertising spend.

    It attracts a straight line via your information factors (dots) to indicate a pattern.

    Methods to Learn the Graph?

    • Dots = Actual information factors.
    • Line = Prediction by the mannequin.
    • If the road is near the dots, it’s a superb mannequin.
    Linear Regression

    📌 Use it while you wish to classify issues OR make complicated choices.
    For instance:

    • Classify if an e-mail is spam or not (Sure/No).
    • Determine whether or not a buyer will purchase a product or not.

    It really works like a flowchart that asks “Sure/No” questions to separate information into teams.



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