I used ARESLAB on matlab and obtained an R2 for train and test greater than 99.0% with a MAE and MSE less than 10-3. Initially, I had normalized the database with Zcore, so after getting these results, I wanted to plot them so I wanted to denormalize the data. But the results obtained sometimes gave predictive variables different from those measured, even though the R2 was good and the errors were relatively good.I used ARESLAB on matlab and obtained an R2 for train and test greater than 99.0% with a MAE and MSE less than 10-3. Initially, I had normalized the database with Zcore, so after getting these results, I wanted to plot them so I wanted to denormalize the data. But the results obtained sometimes gave predictive variables different from those measured, even though the R2 was good and the errors were relatively good. I used ARESLAB on matlab and obtained an R2 for train and test greater than 99.0% with a MAE and MSE less than 10-3. Initially, I had normalized the database with Zcore, so after getting these results, I wanted to plot them so I wanted to denormalize the data. But the results obtained sometimes gave predictive variables different from those measured, even though the R2 was good and the errors were relatively good. ai mars areslab MATLAB Answers — New Questions

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