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Data MiningDescribe classification accuracy. How do we measure it? Differentiate classification accuracy with precision.20217mMACHINE LEARNINGDescribe the evaluation metrics used in machine learning, such as accuracy, precision, recall, and F1-score, with a numerical example. Explain the importance of cross-validation in estimating a model's generalization performance.20257mSoftware EngineeringWhat is reliability? Discuss ROCOF, MTTF and MTTR with suitable example.20237mMACHINE LEARNINGFollowing is a data set that contains two attributes, X and Y, and two class labels, ‘+’ and ‘–’. Each attribute can take three different values: 0, 1, or 2. The concept for the ‘+’ class is Y = 1 and the concept for the ‘–’ class is X = 0 ∨ X = 2.  (a) Build a decision tree on the data set. Does the tree capture the ‘+’ and ‘–’ concepts? (b) What are the accuracy, precision, recall and F1-measure of the decision tree? (Note that precision, recall, and F1-measure are defined with respect to the ‘+’ class.)202214m