Specificity

Correct NO

also know as True Negative Rate

Jo actually me Negative the unme se kitne % ko model ne sahi gues kiya

TN - Model sahi tha, actually me Negative tha
FP - Model galat tha, actually me Negative tha

\[ Specificity = \frac{TN}{TN + FP} \]

Summary

Specificity high → “Model Negative ko Positive kam bol raha hai aur Negative ko Negative jyada bol raha hai”
Also FP should be less and TN should be more in order to make Specificity higher

• FP kam hai matlab model ne Negative ko Positive kam bola
• FN matlab: Model ne Negative ko Posiotive kah diya

Note

Negative ko galti se Positive keh dena (FP) jaha jyada critical hoga waha pe Specificity ka high hona achha hai
EX: Security System or Medical Test (False Alarm avoid karna)
Agar model ne healthy person ko bimaar bola (FP) → unnecessary panic ❌

“Recall tells us how many actual positives are correctly identified, so it focuses on reducing false negatives.”