Selected article for: "cross validation and fold cross validation"
Author: Nikas, Jason B.
Title: Inflammation and Immune System Activation in Aging: A Mathematical Approach
  • Document date: 2013_11_19
    • ID: 2yvyiiuy_21
    Snippet: In addition to the main validation method explained above, and in order to further assess the performance of the F 1 super variable, I employed two other and different cross validation methods: 1) a 10-fold cross validation and 2) a leave-one-out cross validation 47 . Both of those methods yielded a misclassification rate of 0.05 and a mean-squared error of 0.05 in connection with the F 1 super variable. The results of those methods, along with t.....
    Document: In addition to the main validation method explained above, and in order to further assess the performance of the F 1 super variable, I employed two other and different cross validation methods: 1) a 10-fold cross validation and 2) a leave-one-out cross validation 47 . Both of those methods yielded a misclassification rate of 0.05 and a mean-squared error of 0.05 in connection with the F 1 super variable. The results of those methods, along with the confusion matrices generated by them, are shown in Supplementary Table 9 . As can be seen in Supplementary Table 9 , each one of those two and different validation methods resulted in a correct classification of all of the young subjects and in a correct classification of all but two of the old subjects.

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