Computer Science > STUDY GUIDE > Sullivan University - CSC 550XAssignment 4.1. (All)

Sullivan University - CSC 550XAssignment 4.1.

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Week 4 Assignment Problem 5.1. A data mining routine has been applied to a transaction dataset and has classified 88 records as fraudulent (30 correctly so) and 952 as non-fraudulent (920 correctly ... so). Construct the classification matrix and calculate the error rate. Instruction: Based on the textbook (page 97), we have the following classification (confusion) matrix and meaning of each cell. A classification matrix model: Actual Class Predicted C0 Predicted C1 C0 n(0,0)= no. of n(0,1)=no. of C0 cases correctly classified C0 misclassified as C1 cases C1 n(1,0)= no. of C1 n(1,1) =no. of cases misclassified correctly classified C1 as C0 cases Confusion Matrix: The Confusion Matrix for the given transaction data set is as below Classification Confusion Matrix Predicted Class Actual Class 1 (Fraudulent) 0 (nonFraudulent) 1 (Fraudulent) 30 58 0 (non- 32 920 Fraudulent) [Show More]

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