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This is a short answer, give points/results. Within a binary classification dataset with a single predictor, x , the two classes have means of 3.0

This is a short answer, give points/results.

Within a binary classification dataset with a single predictor, x, the two classes have means of 3.0 and 5.0 respectively. According to Bayes Rule, what property of the two classes has to be equal in order for the Bayes Decision Boundary to fall on the point x = 4.0 when performing classification via LDA?

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