New answers tagged

0 votes

Multi-class classification - confusing some classes is worse than others

The problem is that categorization is a premature decision and makes it difficult to bring in the right utility/cost/loss function. Classification also invites you to make classifications when you ...
0 votes

Why does SKLearn's Logistic Regression model have the same coefficients as my own model for 1 class but have different coefficients for other classes

Scikit-learn is open-source so you can check the source code yourself for the differences. If you look at the implementations of statistical algorithms in high-quality software (R, scikit-learn) vs ...
  • 120k
1 vote

What is the benefit from going from unordered to oredered data?

In general, it's rarely a great decision to apply a transformation or make a simplification that results in the loss of useful information. Such is the decision to treat an ordered response as ...
  • 5,662

Top 50 recent answers are included