Consider the tables below which show a training data set for a two class classification problem. The estimated class label for each sample in the training set is found as a result of three-fold cross validation. Training set: Training Sample True Class Label Estimated Class Label 1 1 1 2 0 0 0 3 1 Calculate the a) Accuracy for the 3rd fold (i.e. when the first 2 folds are used for training and the 3rd fold is used for testing) b) F-score using three-fold cross validation. c) Precision, Recall and F-score using the training set given above. 0 0 5 0 1 0 0 7 1 m N00E 0 0 1 1 0 0 10 11 12 0 1 1 1