Does anyone of you know how to associate an algorithm execution time (of experimental execution) to a well known complexity time? For example, say a divide and conquer algorithm lasts theoretically O(n·logn·n^2) or Ω(n·logn), in a theoretical way, doing reccurence ecuations and all that stuff. But when you plot the data from a CSV, you can't say just by looking at it 'oh yea this is O(n^2).
The data from the CSV is like:
How can I use a regression method to derive O-classes from such data?