BY-ADITYA BHATT

## THE IDEA OF SPECIFICITY AND SENSITIVITY IS VERY INTEGRAL IN *ACCESSING* HOW GOOD YOUR CLASSIFICATION MODEL IS.THE TERMS ARE CONFUSING AND OFTEN PEOPLE MESS UP BUT POST THIS BLOG ONE WOULD BE ABLE TO MAKE A CLEAR CHOICE ABOUT THE CORRECT EVALUATION MATRIX TO BE CHOSEN.

*ACCESSING*

THE ABOVE TERMS WILL BE CLEAR BY GIVING A EXAMPLE WHICH ALL OF US WOULD RELATE,SUPPOSE WE GO FOR A COIVD TEST AND TEST NEGATIVE ARE WE 100% SURE THAT WE DON’T HAVE COVID?

THE ANSWER TO IT IS NO.

SO TO UNDERSTAND SPECIFICITY AND SENSITIVITY CONSIDER WE HAVE A GROUP 1000 PEOPLE AND WE KNOW THAT 600 PEOPLE HAVE COVID AND 400 DON’T HAVE IT.ALL PEOPLE GO FOR A COVID TEST USING TWO TOOL KITS ‘A’ AND ‘B’.

THE RESULS FOR A ARE-

OUT OF 600 PEOPLE WHICH HAD COVID 200 WERE CORRECTLY DIAGNOSED.(400 WERE INCORRECTLY CLASSIFIED)

OUT OF 400 PEOPLE WHICH DIDN’T HAVE COVID ALL WERE CORRECTLY DIAGNOSED AS NEGATIVE(0 WERE INCORRECTLY CLASSIFIED)