This code performs linear regression analysis using the `LinearRegression` model...

May 12, 2024 at 05:45 PM

reg = linear_model.LinearRegression() #Linear regression analysis is used to predict the value of a variable based on the value of another variable X = iris[['petal_length']] y = iris['petal_width'] reg.fit(X, y) print("y = x *", reg.coef_, "+", reg.intercept_)

This code performs linear regression analysis using the LinearRegression model from scikit-learn. It fits the model to the data X (petal length) and y (petal width) from the iris dataset. Then, it prints the equation of the linear regression line in the form of y = mx + b, where m is the coefficient (reg.coef_) and b is the intercept (reg.intercept_).

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