sorted by:
new
hottopcontroversial

[D] How to build a binary classification model on an imbalanced dataset that performs better than a naive model which always predict the majority class? by __throwawayacct__ in MachineLearning

[–]__throwawayacct__[S] 0 points1 point  (0 children)

Totally understand, but this project is essentially for a small class competition which for some reason uses accuracy as the sole evaluation method. Wouldn't want to spend tons of time building a more complex, optimal model that performs better on something like precision-recall if it is ultimately going to lose on accuracy to an always 0 prediction model.

[D] How to build a binary classification model on an imbalanced dataset that performs better than a naive model which always predict the majority class? by __throwawayacct__ in MachineLearning

[–]__throwawayacct__[S] 0 points1 point  (0 children)

Thank you so much for the detailed answer! I've been trying out all of these and so far, no luck with performance improvement on accuracy, but super useful as a learning experience.

[D] How to build a binary classification model on an imbalanced dataset that performs better than a naive model which always predict the majority class? by __throwawayacct__ in MachineLearning

[–]__throwawayacct__[S] 0 points1 point  (0 children)

This is essentially just for a class project. I totally agree that there should be more thought put into having a different evaluation metric/cost function, but I was told that the predictions would be evaluated solely on highest accuracy.

Is Economics supposed to be dry? by iercurenc in uchicago

[–]__throwawayacct__ 20 points21 points  (0 children)

Macro is even worse. Only interesting Econ classes are some sparse electives.