stat841

Course Note for Sept.30th (Classfication_by Liang Jiaxi)

1.

2. Classification
Classification is a function between two random varialbe

3. Error data
Definition: True error rate of a classifier(h) is defined as the probability that the prediction of Y from X do not exactly equal to Y, namely, [math]\displaystyle{ \, L(h)=P(h(X) \neq Y) }[/math]. Empirical error rate(training error rate) of a classifier(h) is

4. Bayes Classifier