ML - 02 Classification Metrics

Source: https://en.wikipedia.org/wiki/Confusion_matrix

Recommendation:

1. When the classes in the dataset are balanced, you may use Accuracy and AUC score for model performance.

2. When positives are rare (<1%), you may use Sensitivity and AUC score to measure the model performance.