4 ms·

I ask this in all seriousness- what?

• strstr 6y ago
  It’s a classic story about models like these (ones with many parameters).
  • deleted 6y ago
    [deleted]
• yeezyseezy 6y ago
  In regression and curve fitting, you can add additional, often spurious parameters, and get a closer fit. A better fit does not mean you have a better model, it usually means the opposite, that you've overfitted the model, and that it's completely useless for forecasting and predictive purposes. This is why in machine learning, researchers are careful to separate training and testing data. This is just physicists roasting each other over the same issue.
  • bnveg 6y ago
    The model shown in the article is cross-validated.