SECTION A: DISCUSSION QUESTIONS 1- Explain the concept of having the imbalance data in classification techniques and the way that it should be treated in developing the classification models? 2- Explain the concept of over-fitting. Explain how overfitting can be avoided? 3- Give two examples of how logistics regression can be used. You onlyr need to explain the problem. One example is the bank that are using logistic regression to classify its new customers for loan approval. The bank wanted to identify customers that are more likely to default on their loan. Explain why you cannot use linear regression in your examples