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Unformatted text preview: column is the index for the data points, the second one shows the value for the feature (just one attribute) and the last column gives the class label. We will use nearest neighbor classifier for this problem. sample Attribute 1 Class table 1 0.1  2 0.7  3 1.0 + 4 1.6 + 5 2.0 + 6 2.5  7 3.2 + 8 3.5  9 4.1 + 10 4.9 + (a) What is the 5fold CV error of 1NN on this data set? Split the data like this: I: instance 1, 2; II: 3, 4; III: 5, 6; IV: 7, 8; V: 9, 10. The error rate for each of the folds is: 1, 0.5, 0.5, 1, 1, respectively. The average error rate is thus 0.8. (b) What is the 2fold CV error of 3NN on this data set? Use the first 5 data points in the first subset, and the last 5 points in the other subset. The error rate for the two folds is 0.6, 0.4. The average error rate is 0.5....
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 Spring '09
 yangliu
 Machine Learning, neural network, Gradient descent, Statistical classification, average error rate

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