COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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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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Detailed explanation-1: -Linear regression provides a continuous output but Logistic regression provides discreet output. The purpose of Linear Regression is to find the best-fitted line while Logistic regression is one step ahead and fitting the line values to the sigmoid curve.
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.
Detailed explanation-3: -Linear regression is used to predict the continuous dependent variable using a given set of independent variables. Logistic Regression is used to predict the categorical dependent variable using a given set of independent variables.
Detailed explanation-4: -In linear regression, the relationship between the two variables is assumed to be linear. This answer is true.