5 Questions
What is the general prediction formula for a linear model in regression?
$ŷ = w_1x_1 + w_2x_2 + ... + w_px_p + b$
In the equation for a line with a single feature, what does 'w' represent?
Slope
For datasets with many features, linear models can be very powerful because:
They can perfectly model any target y as a linear function if there are more features than training data points.
What happens to the prediction of a linear model when using two features?
It becomes a plane
What characterizes the difference between different linear models for regression?
How the model parameters and complexity are learned from training data
Learn about linear models for regression, including the general prediction formula and the parameters of the model that are learned to make predictions.
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