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GATE 2025 · session-5
Machine LearningNaive Bayes ClassifiermediumNAT1 mark
The naive Bayes classifier is used to solve a two-class classification problem with class-labels \( y_1, y_2 \). Suppose the prior probabilities are \( P(y_1) = \frac{1}{3} \) and \( P(y_2) = \frac{2}{3} \). Assuming a discrete feature space with \[ P(x | y_1) = \frac{3}{4} \quad and \quad P(x | y_2) = \frac{1}{4} \] for a specific feature vector \( x \). The probability of misclassifying \( x \) is: (Round off to two decimal places)
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