Mathematical representation of linear regression model fitted with spline transformed features #29030
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Yash-Pisat
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I have a dataset with 5 features and one target. I am using a spline transformer with 1 degree and 5knots and then using these transformed features to fit a linear regression model.
I want to represent the model fit in an equation example y = b1x1 + b2x2 ...
When I use a spline transformer on 5 features they are transformed into 20 features, So I am not sure how do I represent the model fit in terms if these features, since I want to use this equation for benchmarking.
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