COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Least Square Error
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Maximum Likelihood
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Logarithmic Loss
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Both A and B
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Detailed explanation-1: -The more precise method involves the least squares method. This is a statistical procedure to find the best fit for a set of data points by minimizing the sum of the offsets or residuals of points from the plotted curve. This is the primary technique used in regression analysis.
Detailed explanation-2: -4) Which of the following methods do we use to find the best fit line for data in Linear Regression? In linear regression, we try to minimize the least square errors of the model to identify the line of best fit.
Detailed explanation-3: -The least squares method is a form of mathematical regression analysis used to determine the line of best fit for a set of data, providing a visual demonstration of the relationship between the data points.