why mean square error is 0.00?

I have computed mean square error using function immse and it is working fine without giving any error. However it showing the

Out-of-Bag Mean Square Error: 0.0000

Is it possible or something wrong in matlab code. I am attaching the matlab code along with input data. I request you all to kindly have look on code and suggest me how to fix it.

Sanchit

[Satwik]

So what do you expect the error to be?

[Sanchit]

I have tried two data sets and it is giving mean square error 0.000 for both these data sets. I ecpect mean square error to be some minimum number. Can you please have a look on attached code and let me know that code is doing correctly?

Thanks for your help

Sanchit

[Nathan Hardenberg]

There seems to be no attached code

Answer 1

[Divyam]

Hi @Sanchit,

If you are receiving a 0 mean square error on different data sets, then you can check for the following in your model:

1. Check if the input data you provide is properly preprocessed (scaling and normalization is performed if required).
2. Check if the model is overfitting by comparing its performance on the training set and the validation set. If the model performs significantly better on the training set than the validation set, it indicates overfitting. In such cases, you may need to adjust the model's complexity, regularization parameters, or consider using a different algorithm.

Please attach your MATLAB code so that the community can provide more insights.