Why 0.5 Isn't Always the Right Classification ThresholdI changed the threshold of the same churn model from 0.3 to 0.7. The model stayed the same, but its predictions changed quite a lot.3 min read·vashniroy.hashnode.dev4h ago
Does a More Complex ML Model Actually Give Better Results?I compared Logistic Regression and XGBoost on the same churn dataset. The simpler model performed better, even across 5-fold cross-validation.3 min read·vashniroy.hashnode.devOct 14
