Classification problems are one where output variables are a categorical variables.
Example:
For sanctioning Loan checking whether customer would be default or not.
Checking incoming email is SPAM or not SPAM
Binary Classification : Two possible output.
Example :
Blood Sugar Level Diabetes
190 No
240 Yes
300 Yes
160 No
200 Yes
269 Yes
129 No
141 No
220 No
337 Yes
Sigmoid curve : This helps to deal with the deciding boundary problem using probability [ extremely low values in the start, extremely high values in the end, and intermediate values in the middle.]
Chesking best fit curve for sigmoud
by changing the beta0 and beta1 values. we can find.
P=1/(1+e^−(β0+β1x))
https://colab.research.google.com/drive/1S8OhFfYYP1MkG1mT0l9bznzqDekqEAko
Odds =p/(1-p)
