b) Consider Nave Bayes classifier with single feature (X) and class labels (CO, C1). The respective...
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b) Consider Nave Bayes classifier with single feature (X) and class labels (CO, C1). The respective class conditional probabilities follow the normal distributions with corresponding mean and standard deviation parameters (, 0) and (u, 0) respectively. Assuming their prior probabilities [3M] are same, obtain the equation of the decision boundary. b) Consider Nave Bayes classifier with single feature (X) and class labels (CO, C1). The respective class conditional probabilities follow the normal distributions with corresponding mean and standard deviation parameters (, 0) and (u, 0) respectively. Assuming their prior probabilities [3M] are same, obtain the equation of the decision boundary.
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Data Mining Concepts And Techniques
ISBN: 9780128117613
4th Edition
Authors: Jiawei Han, Jian Pei, Hanghang Tong
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