Linear Models for Regression

$ŷ = w_1x_1 - w_2x_2 + ... - w_px_p - b$

$ŷ = w_1x_1 / w_2x_2 / ... / w_px_p + b$

$ŷ = w_1x_1 * w_2x_2 * ... * w_px_p * b$

$ŷ = w_1x_1 + w_2x_2 + ... + w_px_p + b$ (correct)

Coefficient

Intercept

Exponent

Slope (correct)

They can only model targets with specific values of y.

They cannot handle datasets with multiple features.

They are limited to modeling linear relationships between features.

They can perfectly model any target y as a linear function if there are more features than training data points. (correct)

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<p>How the model parameters and complexity are learned from training data</p> Signup and view all the answers