Computer Science · Machine Learning
Consider the following statements regarding continuous prediction models in regression: Statement 1: Linear Regression utilizes the Ordinary Least Squares (OLS) method to model linear relationships by minimizing the sum of the squared differences between observed data points and predicted values. Statement 2: Polynomial Regression models non-linear relationships by utilizing a sigmoid function to transform higher-degree features into a probability range between 0 and 1. Which of the statements given above is/are correct?
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1Both Statement 1 and Statement 2 are true.
- 2Both Statement 1 and Statement 2 are false.
- 3Statement 1 is true, but Statement 2 is false.✓
- 4Statement 1 is false, but Statement 2 is true.
Correct answer
Statement 1 is true, but Statement 2 is false.
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