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• Click on Deploy button to leaunch the model using the whole dataset, but first save the file as 20var-1NN-Euclidean.ppb.  It will run ANOVA on the 28 samples to generate the top 20 genes and build a model using 3 K-Nearest neighbor based on Euclidean distance measure.
•  Since the deployed model was from the whole 28 samples, in order to know the correct rate, we need a test set to run the model on.

Deploying a

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Model

To get unbiased correct rate, the test set sample must be independent from the training set. Now we are going to load another dataset, it has 8 samples with logged intensity values on the set of genes as that of the training data set. To use a complete independent test set to get correct rate is called hold-out validation.

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