Handling Zero Band Gap Values in Machine Learning Regression
Opened this issue · 0 comments
xtongxun commented
Hello, you mentioned in the text that when predicting the band gap, only data greater than 0 is used. So, in the context of machine learning regression, if the target value to be predicted (in this case, the band gap) has half of the original data as zero, what methods would you suggest for handling this situation?