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Shedding Light on the Role of Sample Sizes and Splitting Proportions in Out-of-Sample Tests: A Monte Carlo Cross-Validation Approach

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Academic year: 2020

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Table 1 illustrates possible predicted/actual outcome combinations of the binary outcome problem  the entrepreneur of our initial example faces in his mailing campaign where recipients can either  respond or not respond
Table 2 - R Implementation of Monte Carlo Cross-Validation Variant (Note: Bold-faced Outer-loop is Only  Applied in Step 2 of the Analysis)
Table 3 - Descriptive Statistics of Step 1 (Varying Splitting Proportions)
Figure 3 - Mean Accuracy, Mean Error Rate, Mean Sensitivity and Mean Specificity (Y-Axis) of Logistic  Regression and Decision Tree Algorithm Depending on Splitting Proportions (X-Axis) (Note: Values on
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