Find the best model for my fitting
5 ビュー (過去 30 日間)
- I use nlinfit to fit my data to these three model, and I ouput MSE, besides use MSE, is there any math method I could rely on to choose which model is the best? or what output from nlinfit can also be used?
- I found BIC (https://en.wikipedia.org/wiki/Bayesian_information_criterion), sorry but I didn't understand, is there a way to find the likeyhood function for the three objective function? Then use BIC
Image Analyst 2022 年 11 月 27 日
"Best" is sometime subjective, unless you have some ground truth that you can compare your predictions again. If you do have some ground truth, even then it can be subjective because there are several metrics that you can use to compare your predicted data against the ground truth. If picking the model that gives the lowest MSE or MAE or R or R squared to the ground truth works for you and you're happy with it, then who's to say it's wrong? I'd just go with that.
You could use several metrics to compare your $f to the known ground truth values. If all metrics always suggest the same model, then that model is most likely the one to use.