In discrete response models, overdispersion occurs when there is more correlation in the data than is allowed by the assumptions that the model makes.
Monthly Archives: January 2015
Week #8 – Confusion matrix
In a classification model, the confusion matrix shows the counts of correct and erroneous classifications. In a binary classification problem, the matrix consists of 4 cells.
Week #5 – Features vs. Variables
The predictors in a predictive model are sometimes given different terms by different disciplines. Traditional statisticians think in terms of variables.