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adrian128383
06.04.2021 •
Mathematics
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% were judged to be fraudulent. A sample 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.
a. Produce the classification matrix for the sample as it stands.
b. Find the adjusted misclassification rate (adjusting for the oversampling).
c. What percentage of new records would you expected to be classified as fraudulent?
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Ответ:
First equation goes to 2x-1: simplify the equation by subtracting
Second equation goes to 3x-3: distribute the coefficient
Third equation goes to 3x-3: distribute the negative and combine.
Fourth equation goes to 3x-3: distribute the positive and combine
Fifth equation goes to 2x-1: distribute the 1/2.
Step-by-step explanation:
It's not the best explanation above, but it was too hard to type every equation sorry.