answer all questions with explanation

(b) Suppose you have built a model that helps in filtering spam emails. The model can correctly classify 95% of spam emails, and the probability of misclassifying non-spam emails as spam is 5%. It is found that 50% of emails are spam emails. If the model is provided a new email, what is the probability that the email will be classified as spam email? Explain all the steps clearly. [5 marks]