Feature Scaling Issues with Tree-Based vs Linear Models
One of the most fundamental decisions in machine learning preprocessing is whether to apply feature scaling to your dataset. This seemingly straightforward choice has profound implications for model performance, yet it’s frequently misunderstood or applied inconsistently. The crux of the matter lies in understanding how different model families process numerical features—specifically, the stark contrast between … Read more