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

2 votes
1 answer
41 views

regression model performs less accurate for some tasks

I have a regression problem and used different suitable models for predicting 4 dependent variables. … A little info about what I've done: standardizing the labels so that all are centered and have unit variance. deployed linear regression, lasso, and neural nets as a model. …
arash's user avatar
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1 vote
0 answers
243 views

Efficiency of ridge regression in under determined systems

Since the system is underdetermined, a linear regression model has infinitely many feasible solutions and it is customary to pick the solution which also minimizes the solution $ ||\textbf{W}||^2$. … Another approach to this problem is a ridge regression model. Again, there's a hyperparameter by which one can control the norm of the solution. …
arash's user avatar
  • 319