Accurracy

machine-learning

Definitions

Accuracy

Accuracy measures how many predictions of a model were correct.

$$\text{Accuracy}=\frac{\text{TP}+\text{TN}}{\text{TP}+\text{TN}+\text{FP}+\text{FN}}$$

where:

• $\text{TP}$: True Positive
• $\text{FP}$: False Positive
• $\text{TN}$: True Negative
• $\text{FN}$: False Negative