How do I choose the right regression technique for my data?
An example of an AI chatbot conversation about selecting the best regression method for data analysis.
How do I choose the right regression technique for my data?
Choosing the right regression technique depends on the nature of your data and the relationship you want to model. Are you dealing with linear relationships, or do you need to account for non-linear patterns?
I have a dataset with a linear relationship, but there are some outliers.
In that case, you might consider using robust regression techniques, which can handle outliers better than ordinary least squares regression. Have you thought about using methods like RANSAC or Huber regression?
I haven't. Can you explain how RANSAC works?
RANSAC, or Random Sample Consensus, is an iterative method that selects random subsets of your data to fit a model. It identifies inliers and outliers, allowing you to build a more accurate model despite the presence of outliers. Would you like to know more about its implementation?
Yes, that would be helpful!
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