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A predictive model (decision tree, for example) applied to the validation dataset, with a classification threshold of 0.5, classifies 200 examples as positive (170among these

A predictive model (decision tree, for example) applied to the validation dataset, with a classification threshold of 0.5, classifies 200 examples as positive (170among these correctly) and 800 examples as negative (630among these correctly). What is the misclassification error of the model on the validation data?

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