I have messed up the last part of explaination in this video. Treat Non spam as 0 (negative class) and spam as 1 (as positive class) then we are actually reducing False negatives that is, our model (custom ensemble) is actually doing good job in identifying the spam mails.
I have messed up the last part of explaination in this video. Treat Non spam as 0 (negative class) and spam as 1 (as positive class) then we are actually reducing False negatives that is, our model (custom ensemble) is actually doing good job in identifying the spam mails.