This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: x = 2 . 5 has index 2. Therefore, it is classiﬁed as negative. Part 1. Use leave-one-out (6-fold cross validation) to estimate the errors of Algorithm A and Algorithm B. Answer: e A = e B = Part 2. Use 3-fold cross validation to estimate the errors of Algorithm A and Algorithm B. Run cross-validation three times, on the following three permutations of the data: 1-(1 , 2 , 3 , 4 , 5 , 6) 2-(1 , 3 , 5 , 2 , 4 , 6) 3-(1 , 6 , 2 , 5 , 3 , 4) What are the computed errors in each case: Permutation 1: e A = e B = Permutation 2: e A = e B = Permutation 3: e A = e B = What are the estimates to the error and standard deviation for each algorithm: Algorithm A: e = σ = Algorithm B: e = σ = Question 2 Consider a classiﬁer h that is tested on 100 randomly chosen examples. It turns out that h misclassify 30 of them. Give an interval into which the true error of the classiﬁer will fall with approximately 95% probability?...
View Full Document
This note was uploaded on 12/03/2009 for the course COMPUTER E 770 taught by Professor Dr.mohammednizari during the Spring '09 term at Jordan University of Science & Tech.
- Spring '09