How to resolve root_mean_squared_error root_mean_squared_error: 0.211 +/- 0.000

mit_student
mit_student New Altair Community Member
edited November 5 in Community Q&A
Hello,

I have this model for my Decision Support System in Disease Analysis.

I try to use neural network and I encounter this issue.

I need help. 



Tagged:

Answers

  • Roland Jones_21245
    Roland Jones_21245
    Altair Employee
    Hi @mit_student,

    Could you possibly expand a little more on what the problem you’re facing is? Is the RMSE higher than you were aiming for on your regression problem.

    Best,
    Roland
  • mit_student
    mit_student New Altair Community Member
    Hello,

    I wanted to do some prediction using the neural net. But when I tried to run the model above, I seem to get that error about root_squared.
  • Roland Jones_21245
    Roland Jones_21245
    Altair Employee
    Hi @mit_student,

    The root mean square error (RMSE) is a performance metric of the model, rather than an "error" per se. Unless the model is able to predict every value with perfect accuracy (which I have never seen in a real world use case), the RMSE will always be above zero. It is one of the commonly used performance metrics in Regression analysis, and there's a nice explainer here which might help - https://www.statisticshowto.com/probability-and-statistics/regression-analysis/rmse-root-mean-square-error/. The goal is to minimize this error, through feature engineering and improving the model.

    I hope this helps, and any further questions please do let me know.

    Best,
    Roland

Categories