APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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True
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False
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Either A or B
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None of the above
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Detailed explanation-1: -Yes, Linear regression is a supervised learning algorithm because it uses true labels for training. A supervised machine learning model should have an input variable (x) and an output variable (Y) for each example.
Detailed explanation-2: -Regression is another type of supervised learning method that uses an algorithm to understand the relationship between dependent and independent variables.
Detailed explanation-3: -In linear regression, the relationship between the two variables is assumed to be linear. This answer is true.
Detailed explanation-4: -1) Linear Regression is Supervised because the data you have include both the input and the output (so to say). So, for instance, if you have a dataset for, say, car sales at a dealership. You have, for each car, the make, model, price, color, discount etc. but you also have the number of sales for each car.