I have a statistics doubt. Consider I have the following values.
Base Model Model 1 Model 2 5 7 4 10 12 8 15 17 12 20 23 21 25 30 27 30 31 31 35 34 37 40 43 43 45 45 44 50 51 50
I want a better way to represent Model1 and Model2 by comparing against the Base Model. I used an error metric:
$\frac{|\text{My_Model} - \text{Base_Model}|}{\text{Base_Model}} \times 100$
What other methods can I use to represent these. I want to plot these as a graph and see how good Model 1 and Model 2 are w.r.t Base Model. Can I use any form of distributions?