Data Science, Glm, Statistics, Modeling, Machine Learning.
lift and gini indices. Shortcomings Predictions must be based on a linear function; GLM exhibits instability dealing with highly correlated data; GLM assumes the random components of the outcome is uncorrelated. Comparing to popular models such as neural networks, random forests or boosted trees,