I think it is a fitting problem, but using the regularization method is still the same result, such as
I looked at the data between the problem again and found that the correlation between input and output data is very low, less than 0.2, some even negative correlation, will be the reasons for the low correlation between data?
The predicted results are as follows:
Prediction of root mean square error is 0.27, is it already is the best prediction effect? Whether need to change the model?
