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    Home»Machine Learning»Approaching Classification Problems with Logistic Regression | by Kuriko Iwai | Apr, 2025
    Machine Learning

    Approaching Classification Problems with Logistic Regression | by Kuriko Iwai | Apr, 2025

    FinanceStarGateBy FinanceStarGateApril 25, 2025No Comments1 Min Read
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    Mathematical theorem and fraud danger classification with Gradient Ascent

    Classification: Linear Regression vs Logistic Regression (Image source)

    Beforehand, we utilized linear regression and LWR on regression drawback.

    On this story, we’ll deal with classification issues with logistic regression.

    Classification is a supervised machine studying technique the place the mannequin tries to foretell the proper label of a given enter information known as courses.

    Classifiers study class traits from enter information, then study to assign attainable courses to new unseen information in response to these discovered traits.

    Classification vs Regression Image Source

    Whereas regression predicts numeric values, classification predicts a category the place enter information ought to be categorized.

    In classification issues, the purpose is to assign an enter information level to one in every of a predefined set of classes.



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