Data Scientist

Bias and variance

Bias and variance provide a powerful conceptual tool for analyzing classification performance.   Previous approaches to conducting bias-variance experiments have provided little control over the types of data distribution from which bias and variance are estimated.   I have developed new techniques for bias-variance analysis that provide greater control over the data distribution.  Experiments show that the type of distribution used for bias-variance experiments can greatly affect the results obtained.