Yeo-Johnson Transform
A statistical data preprocessing technique that normalizes skewed features into a more Gaussian (bell-shaped) distribution, securely handling zero and negati...
Think of It Like This
Like reshaping a lopsided, squished piece of clay into a perfectly symmetric sphere so it rolls smoothly down a hill.
Machine learning algorithms, particularly linear models and neural networks, struggle significantly with heavily skewed data. The Yeo-Johnson transform uses a parameterized power function to pull long tails inward, reducing the influence of extreme outliers. It is an evolutionary improvement over the Box-Cox transform, which strictly required strictly positive data.