Calculate the misclassification rate for the following confusion matrix. Actual Class Predicted Class 1 Predicted Class 0 Class 1 19 12 Class 0 12 57 Multiple Choice 0.74 0.24 0.80 0.30
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First, let's rewrite the confusion matrix in a more readable format: ``` Actual Class 1 | Actual Class 2 ----------------|---------------- Predicted 1: 19 | Predicted 1: 12 Predicted 2: 12 | Predicted 2: 57 ``` Show more…
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Consider the following table showing results of a binary classification problem with validation data: Actual Class 0 1 0 1 1 0 1 1 Predicted Class 0 1 1 1 0 0 1 0 Build the confusion matrix. Compute Classifier accuracy, Precision, Recall, and F-score for Class 1 based on the above data. [2+0.5+0.5+0.5+0.5 = 4 marks]
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