APPLICATION OF SUPERVISED LEARNING
CLASSIFICATION IN MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which is FALSE about linear regression and logistic regression
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logistic regression does not use linear classifier
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logistic regression finds a continuous value
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linear can be used to find a continuous value
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linear regression find the label for a data
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Explanation:
Detailed explanation-1: -The Differences between Linear Regression and Logistic Regression. Linear Regression is used to handle regression problems whereas Logistic regression is used to handle the classification problems. Linear regression provides a continuous output but Logistic regression provides discreet output.
Detailed explanation-2: -Linear regression is utilized for regression tasks, while logistic regression helps accomplish classification tasks. Supervised machine learning is a widely used machine learning technique that predicts future outcomes or events. It uses labeled datasets to learn and generate accurate predictions.
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