Please show proper working. This is a question regarding machine learning. I will downvote if the answer is copied or wrong. Thank you.

1-3. A marketing company working for a charity has developed two different models that predict the likelihood that donors will respond to a mailshot asking them to make a special extra donation. The prediction scores generated for a test set for these two models are shown in the table below. a) Using a classification threshold of 0.5, and assuming that true is the positive target level (value), construct a confusion matrix for each of the models. b) Calculate the simple accuracy and average class accuracy (using an arithmetic mean) for each model. c) Based on the average class accuracy measures, which model appears to perform best at this task? d) Generate accumulative gain chart for each model. e) The charity for which the model is being built typically has only enough money to send a mailshot to the top 20% of its contact list. Based on the cumulative gain chart generated in the previous part, would you recommend that Model 1 or Model 2 would perform best for the charity