TP vs TN vs FP vs FN

What is TP, TN, FP, FN used for?

They are used to evaluate models, especially classification models. They help determine how well a model is performing by analyzing its predictions compared to actual outcomes. These values form the basis for most metrics

TP (True Positive):

• The model correctly predicts a positive outcome.
• Example: Predicts "yes" for someone who actually has a condition.

FP (False Positive):

• The model incorrectly predicts a positive outcome.
• Example: Predicts "yes" for someone who does not have the condition.

FN (False Negative):

• The model incorrectly predicts a negative outcome.
• Example: Predicts "no" for someone who actually has the condition.

TN (True Negative):

• The model correctly predicts a negative outcome.
• Example: Predicts "no" for someone who does not have the condition.