How to create a loop to run my training dataset 1000 times?
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
I have my training dataset randomly selected from 80% of my (x,y) time-series, and my goal is to do polynomial curve fitting from degree one to four and find the best fitting looking at each RMSE
![Screen Shot 2019-05-01 at 9.28.20 AM.png](https://www.mathworks.com/matlabcentral/answers/uploaded_files/217417/Screen%20Shot%202019-05-01%20at%209.28.20%20AM.png)
So my "training" is different subset of my whole dataset each time I run the command.
![Screen Shot 2019-05-01 at 9.28.26 AM.png](https://www.mathworks.com/matlabcentral/answers/uploaded_files/217418/Screen%20Shot%202019-05-01%20at%209.28.26%20AM.png)
and each of the RMSE is also different for the same reason.
My goal is to run the whole session 1000 times and then find the average of each RMSE. For example, to have mean_RMSE1=sum of all RMSE1/1000 and so on. I want to select the smallest mean_RMSE over the four alternatives.
So how could I write the syntax to achieve this purpose?
3 Kommentare
KSSV
am 1 Mai 2019
Initiliaze the requied values before loop...save them in the loop and after use mean.
Antworten (0)
Siehe auch
Kategorien
Mehr zu Regression finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!