MACHINE LEARNING
INTRODUCTION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Logistic regression is used when you want to:
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Predict a discrete variable from continuous or discrete variables.
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Predict a continuous variable from discrete variables.
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Predict a continuous variable from continuous or discrete variables.
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None of these
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Explanation:
Detailed explanation-1: -Logistic regression analysis is a statistical technique to evaluate the relationship between various predictor variables (either categorical or continuous) and an outcome which is binary (dichotomous).
Detailed explanation-2: -Logistic regression is commonly used for prediction and classification problems. Some of these use cases include: Fraud detection: Logistic regression models can help teams identify data anomalies, which are predictive of fraud.
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