Accuracy Score

Description

The Accuracy Score is a fundamental classification metric that computes the ratio of correctly predicted observations to the total observations. It is defined as $(TP+TN)/(TP+TN+FP+FN)$. While intuitive, it may be misleading for imbalanced datasets, where high accuracy can be achieved by simply predicting the majority class.