While I was reproducing your work, I have a question regarding the methodology described in the paper, specifically the independent dataset testing process. In the paper, it is mentioned that five-fold cross-validation and independent dataset testing were used to evaluate the model's effectiveness and generalization. However, I am unclear about whether the independent testing was conducted using the model trained on:
80% of the training data (as used during the cross-validation splits), or
100% of the training data (trained after completing the cross-validation process).
I would greatly appreciate it if you could clarify this point, as it would help me better understand and replicate your methodology in my own research.
While I was reproducing your work, I have a question regarding the methodology described in the paper, specifically the independent dataset testing process. In the paper, it is mentioned that five-fold cross-validation and independent dataset testing were used to evaluate the model's effectiveness and generalization. However, I am unclear about whether the independent testing was conducted using the model trained on:
80% of the training data (as used during the cross-validation splits), or
100% of the training data (trained after completing the cross-validation process).
I would greatly appreciate it if you could clarify this point, as it would help me better understand and replicate your methodology in my own research.