New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Question: How to tune level 2 or level 3 model? #51
Comments
@iFe1er Apologies for late correspondence these day, I am extremely busy. I will respond to this and other queries more analytically the following days. In principle you have 2 options:
|
Following this question, may i ask how can I choose or add more models (algorithms) for layer 2 or layer 3? Thanks. |
Trial and error. There is no definite answer. However, consider this:
|
Thank you for your kind help. Actually I have around 20 model in first layer which covers almost all algorithms and only 1 for second layer. When I try to take one more from first layer, the results didn’t improve. So I give up and keep only one in second layer. |
Will close this for now. |
I know how to tune the model in level1, just put that model to first line in param.txt and rerun it once k-fold is finished.
However, i don't know how to tune the model at level2, do any one know ?
The text was updated successfully, but these errors were encountered: