a. Consider the following table showing results of a binary classification problem with validation data. Actual...

 

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a. Consider the following table showing results of a binary classification problem with validation data. Actual Class Predicted Class 0 1 0 1 1 0 1 1 1 0 0 1 1 0 1 0 Build the confusion matrix. Compute Classifier accuracy, Precision, Recall, and F-score for class 1 based on the above data. (1+1+.5+.5+1 marks) b. Consider the following set of frequent 2-itemsets found during execution of Apriori algorithm: {A, B}, {A, D), (B, D}, {C, D} Identify the candidate 3-itemsets using the Apriori principle. (2 marks) a. Consider the following table showing results of a binary classification problem with validation data. Actual Class Predicted Class 0 1 0 1 1 0 1 1 1 0 0 1 1 0 1 0 Build the confusion matrix. Compute Classifier accuracy, Precision, Recall, and F-score for class 1 based on the above data. (1+1+.5+.5+1 marks) b. Consider the following set of frequent 2-itemsets found during execution of Apriori algorithm: {A, B}, {A, D), (B, D}, {C, D} Identify the candidate 3-itemsets using the Apriori principle. (2 marks)

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a Confusion Matrix Actual Class 0 1 Predicted Class 0 2 1 1 1 2 Classifier accuracy 2 2 2 1 1 2 56 0... View the full answer