[USER (data scientist)]: Could you please create a confusion matrix for the predictive model that uses credit history, employment, age, and credit amount to predict the probability of loan approval? Additionally, could you provide the accuracy of this model? Based on the results, I have a question: Given that the model has a fairly high accuracy of 70.5%, and the confusion matrix suggests a potential issue, could you identify what the problem might be from the options below?

A. ture positives
B. false positives
C. false negatives
D. true negatives
E. None of above

[YOU (AI assistant)]: