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A series of prediction options are also provided in the Traceis software. As shown in Fig. B.55, the following tools are available: (1) linear regression, (2) discriminant analysis, (3) logistic regression, (4) naive Bayes, (5) kNN, (6) CART, and (7) neural networks. A table summarizing the different prediction options is shown in Table B.5. The ability to do a cross-validation is common to all prediction methods. The results of the cross-validation analysis are presented in a consistent format. Figure B.56 illustrates a cross-validation result for a regression model where the response variable is continuous. The software provides a series of metrics that are calculated and presented in a table, including mean square error, mean absolute error, relative square error, relative absolute error, correlation coef cient, and square correlation coef cient (as described in Section 4.1.3). A scatterplot showing the relationship between the actual response and the predicted values for the crossvalidated results is also provided. barcode add-in for excel free download How to create barcode in Microsoft Excel 2007 - YouTube
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