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Figure 2 | Algorithms for Molecular Biology

Figure 2

From: A Partial Least Squares based algorithm for parsimonious variable selection

Figure 2

An overview of the testing/training. An overview of the testing/training procedure used in this study. The rectangles illustrate the predictor matrix. At level 1 we split the data into a test set and training set (25/75) to be used by all four methods listed on the right. This was repeated 100 times. Inside our suggested method, the stepwise elimination, there are two levels of cross-validation. First a 10-fold cross-validation was used to optimize selection parameters f and d, and at level 3 leave-one-out cross-validation was used to optimize the regularized CPPLS method.

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