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Given three training instances with weights 0.5, 0.2, 0.04. The predicted values are 1, 1, and – 1. The actual output variables in the instances are – 1, 1, and 1. And the terror would be 1, 0, and 1. What is the misclassification rate?

Given three training instances with weights 0.5, 0.2, 0.04. The predicted values are 1, 1, and – 1. The actual output variables in the instances are – 1, 1, and 1. And the terror would be 1, 0, and 1. What is the misclassification rate? Correct Answer 0.73

Misclassification rate or error = sum (w (i) * terror (i)) / sum (w) = (0.5 * 1 + 0.2 * 0 + 0.04 * 1) / (0.5 + 0.2 + 0.04) = (0.5 + 0 + 0.04) / 0.74 = 0.54 / 0.74 = 0.73

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