[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? Given the model's reported accuracy of 70.5%, could you also tell me how many instances were mistakenly identified as positive?

A. 97
B. 37
C. 48
D. 56
E. None of above

[YOU (AI assistant)]: