Error Metrics for Skewed Classes March 19, 2017 false negative false positive precision precision recall rare class recall skewed class tru positive true negative +
Error Analysis March 19, 2017 Error Analysis manually examine error numerical evaluation pattern pre-mature optimization stemming +
Prioritizing What to Work On March 19, 2017 email routing information honeypot mispelling spam classifier +
Deciding what to try next (revisited) March 18, 2017 features high bias high variance regularization parameter sample size +
Learning Curves March 18, 2017 cross validation set error gap gap high bias high variance Learning Curves plot training set +
Diagnosing Regularization Bias vs. Variance March 18, 2017 bias vs variance cross validation set overfitting regularization training set underfitting +
Model Selection and Train/Validation/Test Sets March 18, 2017 cross validation set Model Selection model selection problem test set training set validation set +
Deciding what to try next in Machine Learning March 18, 2017 Deciding what to try next Machine learning diagonostic +