Computer scienceData scienceInstrumentsScikit-learnTraining ML models with scikit-learnRegression in scikit-learn

Linear Regression with scikit-learn

Accessing model's intercept

Report a typo

Imagine that you're training a linear regression model of the following form:

$Y = \alpha_o + \alpha_1 \cdot X_1 + \alpha_2 \cdot X_2$

You've created a LinearRegression object called my_model and trained it on the available data.

How can you access the intercept of the model? Select all possible ways to do so.

Select one or more options from the list

This model doesn't have an intercept

my_model.coef_[0]

my_model.intercept()

my_model.intercept_

___

Create a free account to access the full topic