A large number of insurance records are to be examined to develop a model for predicting fraudulent claims. Of the claims in the historical database, 1% was judged to be fraudulent (class 1).A sample database is taken to develop a model, and oversampling is used to provide a balanced sample in light of the very low response rate. When applied to this sample database (total number of records, N = 800), the model ends up correctly classifying 310 frauds, and 270 non-frauds. It misses 90 frauds and classified 130 records incorrectly as frauds when they were not. If the positive sample number is fixed (400), the sample ratio is 1:99 (fraudulent vs. non-fraudulent, positive vs. negative)1. What is the adjusted misclassification rate (error rate) that should be in the original non-oversampled database?2. What is the total number of false positive records that should be in the original non-oversampled database?

answer: a. 13/44

step-by-step explanation: judging by the information given to us, we are looking for experimental probability. we can see that 13 males have chosen chocolate ice cream. there are 44 ice creams in total (remember that the total is always the denominator). so our answer is 13/44.

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step-by-step explanation:

i can not answer the question due to the fact that you spelled "carton" as "cartoon", a cartoon is something you watch on tv, a carton is a box that holds things. and also you've been waiting for this question for a while so why don't you get off your lazy a** and try to figure it out for yourself for once!

step-by-step explanation:

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look above, and leave your comments down below, and don't for get a five stars and a and brainliest xd

sorry for the stars in the middle of words its because it wouldn't let me submit. xd

4932,9180,7625 are divisible by 9