Thank you for sharing the paper. My question was related to #7. I was curious to know how the relationship between model performance and computational costs varied with respect to the number of candidates. Also, were there any major differences between the two methods, Random Forest and Support Vector Regression?
Thank you for sharing the paper. My question was related to #7. I was curious to know how the relationship between model performance and computational costs varied with respect to the number of candidates. Also, were there any major differences between the two methods, Random Forest and Support Vector Regression?