Difference between FitPercent value calculated in idpoly class and manually. (Get predicted y value in ARX function)
조회 수: 1 (최근 30일)
이전 댓글 표시
I want to compare accuracy of my several modeling method, arx is one of them.
So I calculate predicted y value of arx model with function 'compare'.
But when I calculate FitPercent like this documentation. https://www.mathworks.com/help/ident/ug/model-quality-metrics.html
My calculation and FitPercent value from sys.Report.Fit.FitPercent are different.
So I have 2 questions.
1. Is it right method using compare function to get predicted y value? Is there any others?
2. If calculation procedure of predicted y value is not wrong, why the NRMSE value calculated by predicted y value and sys.Report.Fit.FitPercent are different?
load iddata1
sys_armax = armax(z1,[2 3 1 0]);
[ymodel, ~, ~] = compare(z1, sys_armax);
ymodel = ymodel.y;
ymeasured = z1.y;
fit1 = goodnessOfFit(ymodel, ymeasured, 'NRMSE') % using function 'goodnessOfFit' to calculate NRMSE
fit2 = 100*(1-norm(ymeasured-ymodel)/norm(ymeasured-mean(ymeasured))) % From documentation
fit3 = sys_armax.Report.Fit.FitPercent % Get NRMSE value from idpoly class.
fit1 =
0.7027
fit2 =
70.2738
fit3 =
76.0267
댓글 수: 0
답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Classification에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!