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.