APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Cost function(J) of Linear Regression is the ____ value between predicted y value (predicted) and true y value (y)
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Mean
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Root mean square
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Median
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Mean square
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Explanation:
Detailed explanation-1: -What Is Cost Function of Linear Regression? Cost function measures the performance of a machine learning model for a data set. Cost function quantifies the error between predicted and expected values and presents that error in the form of a single real number.
Detailed explanation-2: -The predicted value of y (” “) is sometimes referred to as the “fitted value” and is computed as y ^ i = b 0 + b 1 x i . Below, we’ll look at some of the formulas associated with this simple linear regression method. In this course, you will be responsible for computing predicted values and residuals by hand.
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