In A Linear Regression Problem Hx Is The Predicted Value Of The #104
In a linear regression problem, h(x) is the predicted value of the target variable, y is the actual value of the target variable, m is the number of training examples. What do we try to minimize?
This multiple choice question (MCQ) is related to the book/course
gs gs126 Neural Networks.
It can also be found in
gs gs126 Linear Regression - Linear Regression – Cost Function - Quiz No.1.
In a linear regression problem, h(x) is the predicted value of the target variable, y is the actual value of the target variable, m is the number of training examples. What do we try to minimize?
(h(x) – y) / m
(h(x) – y)2 / 2*m
(h(x) – y) / 2*m
(y – h(x))
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