In my data set 2 features
C2 are highly correlated. I did the following steps. Could you please let me know if it is correct and make sense? do you have a better approach?
First I used the linear model to find the fitted line: C1=a*C2+b
from sklearn import linear_model reg=linear_model.LinearRegression() y_reg=data1['C1'] x_reg=data1['C2'] reg.fit(x_reg2,y_reg2) a=reg.coef_ b=reg.intercept_ print(a,b)
After finding a and b I removed
C2 from the dataset and added a new Variable:
My next question is how I can understand if this line is good?