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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

3 votes
0 answers
40 views

Are there any models that do worse on standardized datasets?

Question My question today is, do any classification/regression models exist such that they actually perform worse on a standardized dataset than the original dataset itself? …
AlanSTACK's user avatar
  • 641
3 votes
1 answer
2k views

Why isn't BFGS and LBFGS implemented in more areas where gradient descent is applied?

BFGS and LBFGS algorithms are often seen used as optimization methods for non-linear machine learning problems such as with neural networks back propagation and logistic regression. … My question is why arent they implemented in everything that gradient descent is even remotely related to, LINEAR regression for example? …
AlanSTACK's user avatar
  • 641
4 votes
2 answers
1k views

Is Linear/Polynomial Regression sensitive to irrelevant features or noise?

Are predictive models based off of linear regression and polynomial regression sensitive to irrelevant features or noise? …
AlanSTACK's user avatar
  • 641