Machine LearningLesson 78Free preview

Multiple Regression

This lesson is part of Python · All levels

Summary

Multiple regression predicts one result variable using several load variables at once, for example predicting the price of a car from its weight and volume. The data form is an X matrix with several columns of features and each column has its own weight coefficient. Sklearn shows it through the coef_ attribute so that it can be known which features are most influential. This approach is more realistic because real decisions are almost always influenced by more than one factor.

Key points

Multiple regression uses two or more features at once
Each feature has its own weight coefficient on the coef_attributes
The greater the absolute weight of a feature, the stronger its influence
The high correlation features make weight difficult to interpret

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