On Monday, October 24, 2022 at 7:14:10 AM UTC-7, Reto wrote: > On Sun, Oct 23, 2022 at 05:11:10AM -0700, Fatemeh Heydari wrote: > > model.score(X,Y) > > That will basically check how good your model is. > > It takes a bunch of X values with known values, which you provide in Y > and compares the output of model.Predict(X) with the Y's and gives you > some metrics as to how good that performed. > > In the case of linear regression that be R^2, the coefficient of > determination > of the prediction. > > Cheers, > Reto
Dear Reto Thanks for your attention. But I calculated R^2 for the model with the code : r2_score(predictedY,Y) and I got different result from the "score " function. I wish to know what mathematical formulation is behind this function Thanks again -- https://mail.python.org/mailman/listinfo/python-list
