📊 Machine Learning
Q. Which of the following methods do we use to find the best fit line for data in Linear Regression?
  • (A) Least Square Error
  • (B) Maximum Likelihood
  • (C) Logarithmic Loss
  • (D) Both A and B
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✅ Correct Answer: (A) Least Square Error

Explanation: In Linear Regression, the method used to find the best fit line for data is Option A: Least Square Error. This technique minimizes the sum of the squared differences (errors) between the predicted values and the actual values in the dataset. The goal is to find the line that minimizes the overall error, making it the "best fit" line for the data.

Explanation by: Mr. Dubey
In Linear Regression, the method used to find the best fit line for data is Option A: Least Square Error. This technique minimizes the sum of the squared differences (errors) between the predicted values and the actual values in the dataset. The goal is to find the line that minimizes the overall error, making it the "best fit" line for the data.

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