Re:A mathematical formula that predicts US elections with 87...
by drjasonharrison on Thursday June 25, 2020 @01:55PM
(#23643511)
Am I right in interpreting their screenshot that their best found model has 22 parameters?!
Re:A mathematical formula that predicts US elections with 87...
by mcphage on Thursday June 25, 2020 @08:04PM
(#23647261)
22 parameters, to predict 25 bits, and get 87.5% accuracy! Which is just under 22!
Re:A mathematical formula that predicts US elections with 87...
by bnveg on Thursday June 25, 2020 @08:15PM
(#23647336)
This is out of sample performance. Only 4 models were compared outside the train domain. Also I don't see where you see 22 parameters, the complexity of a model is not defined as its number of parameters.
Re:A mathematical formula that predicts US elections with 87...
by Grakel on Thursday June 25, 2020 @01:47PM
(#23643402)
I ask this in all seriousness- what?
Re:A mathematical formula that predicts US elections with 87...
by yeezyseezy on Thursday June 25, 2020 @03:28PM
(#23644514)
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.
One can fit an elephant with four free parameters. That's the story of these curve fitting exercises.