Assume that in a binary classification problem with one feature X, the distribution of X in class k = 1 is fi (x) x > 0 20? exp and the distribution of X in class k = 2 is -(In x – µ2)² 203 1 f2(x)...

Assume that in a binary classification problem with one feature X, the distribution of<br>X in class k = 1 is<br>fi (x)<br>x > 0<br>20?<br>exp<br>and the distribution of X in class k = 2 is<br>-(In x – µ2)²<br>203<br>1<br>f2(x)<br>exp<br>x > 0<br>(a)<br>of x?<br>Are there any conditions under which the discriminant function is a linear function<br>(b) If o1 = 02 = 1, µ1 = 10, and T1 =<br>T2 = 0.5, in what class will x =<br>10 be classified?<br>

Extracted text: Assume that in a binary classification problem with one feature X, the distribution of X in class k = 1 is fi (x) x > 0 20? exp and the distribution of X in class k = 2 is -(In x – µ2)² 203 1 f2(x) exp x > 0 (a) of x? Are there any conditions under which the discriminant function is a linear function (b) If o1 = 02 = 1, µ1 = 10, and T1 = T2 = 0.5, in what class will x = 10 be classified?

Jun 11, 2022

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Assume that in a binary classification problem with one feature X, the distribution of X in class k = 1 is fi (x) x > 0 20? exp and the distribution of X in class k = 2 is -(In x – µ2)² 203 1 f2(x)...

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