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I ran an evaluation on two different regression model variations using the same dataset and I am a bit unsure how to tell which model is better.

The blue model has a worse RMSE of 150 and a better $R^2$ score of .107.

I was hoping to see if anyone had any thoughts on how to interpret this in relation to determining which model is more accurate.

Thanks!

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    $\begingroup$ What you’ve described is impossible in math, so there is something about the implementation that is not reporting what you think it is reporting. How are those RMSE and $R^2$ values calculated in the software you’re using? $\endgroup$
    – Dave
    Nov 22, 2022 at 16:35
  • $\begingroup$ Both the r2 are very poor, so saying 0.107 is better than 0.044 is not of much use. Also, the sample count seems different for both. $\endgroup$
    – 10xAI
    Nov 22, 2022 at 18:55

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