1. Given a binary classification problem (Class-1 or Class-0), draw a Confusion Matrix showing result counts (fx) in terms of Predicted and Actual class. Provide calculations for Accuracy and Error Rate, highlighting False Positives (FP) and False Negatives (FN). Show transcribed image text
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