How to find the accuracy of a simulated model with different datasets

Question

I am simulating my model using real 29 datasets. how can I calculate the accuracy of my model, based on the results obtained from these datasets?

Answer 1

Consider using a typical Five Number Summary (min, Q1, median, Q2, max) of the 29 datasets. Q1 and Q2 are basically medians of the datasets lower/higher than the median, respectively. Observe the numbers. If Q1 and Q2 have a relatively large difference, it means the datasets may not have a clear pattern, or you will need more data sets to see the pattern. If they have a small difference, however, find the result of your model and see where it fits. The closer your result is to the median, the more accurate your model is. You will need to revise your model though if your result falls outside the range between the min or max values.

Note: if your dataset contains more than one variable, simply repeat the process above for each variable and see how they fit together.