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##DOCUMENTATION
bestPR1 has a class named polyBest. Constructor of this class accepts four parameters: 1. Feature Data-frame(a matrix type object) 2. Target Data-frame(a matrix type object) 3*. A list of coefficients of regularization for lasso regression of degree 1,2,3,.. in that order upto whatver degree you would like to do polynomial regression. 4. Train-Test split ratio 5. boolean value, pass True if u want to do StandardScaler else pass False The class has two methods: 1. mseScore(): takes no parameters, returns a list of mse scores of len(3*). 2. maescore(): takes no parameters, returns a list of mae scores of len(3*)
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