Accuracy Is NOT Enough

In this video, I explain why accuracy is not the be-all, end-all measure for classification. After that, I introduce the confusion matrix, a mechanism for tracking predicted versus actual values. Then, I talk about a variety of measures and how we can derive them from the confusion matrix.
LINKS AND INFO
Catallaxy Services - www.catallaxys...
Keeping It Classy: Designing a Great Classifier -- www.catallaxys...
Slide deck -- www.catallaxys...
Demo code -- github.com/fea...
Basic evaluation measures from the confusion matrix -- classeval.word...
Classification Model Evaluation -- fritz.ai/class...