Question

gilt use this information in practice. .Another analyst comments that you could improve the accuracy of the model by classifying everything as nonfraudulent. If you do that, what is the error rate? d. Comment on the usefulness, in this situation, of these two metrics of model performance (error rate and lift). ge number of insurance records are to be examined to develop a model for laims. Of the claims in the historical database, 1% were judged 5.4 A lar predicting fraudulent 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 (n 800), the model ends up correctly classifying 310 frauds, and 270

I had already have an answered for this one, but I do not understand where that $57.54 and the predicted class numbers are coming from. please explain in detail.

Answer 1

BWう 3 10 30 0 270 (b) mi.dcufchw teニー22 4000 Bda-t@ goy.tro4 wi sted end clouitrindof 书chul deus 12Y: 70 310 127D 90 21130 2700 q00 360, 40000 31