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If the input to our linear regression object is of 10 dimensions, including the bias, how...

If the input to our linear regression object is of 10 dimensions, including the bias, how many variables does our cost or total loss function contain?
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Answer #1

If we have given 10 inputs to our linear regression model, then out of them we will be passing 9 of them to the loss function in order to find the loss for the linear regression. One of them that we are not going to pass is the output variable of the linear regression model.

Thus we will pass 9 variables as the input to the linear regression model.

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