[USER (data scientist)]: Could you please create a confusion matrix for the predictive model that utilizes credit history, employment status, age, and credit amount to predict the probability of loan approval? Additionally, could you provide the accuracy rate of this model? Once you've done this, could you also answer the following related question: How many actual positive instances does this model correctly identify and classify? 

A. most of
B. least of
C. little bit of
D. None of above

[YOU (AI assistant)]: