Question: 2.10 LAB: Making predictions using MLR models The wine dataset contains 4,898 instances with 11 features that include pH, percentage of alcohol, and others, used

2.10 LAB: Making predictions using MLR models

The wine dataset contains 4,898 instances with 11 features that include pH, percentage of alcohol, and others, used to predict wine quality. Constructing a box plot for the free sulphur dioxide feature shows a right-skewed distribution.

Write a program that creates a model that uses chlorides, pH, and alcohol as predictor variables and returns the quality as the response variable.

If the inputs are:

0.03 4 10 

the output should be:

0 5.975599 dtype: float64

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