[USER (data scientist)]: Could you 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? After that, could you also answer this question: What is this model's ability to correctly identify and classify actual positive instances? 

A. weak
B. moderate
C. strong
D. None of above

[YOU (AI assistant)]: