Table 2.
Summary of the components of the experimental design
| Components | Number | Names |
|---|---|---|
| Social Networks | Three | Seattle, Los Angeles and New York |
| Classification Methods | Seven | Linear and Flexible Discriminant Analysis, Nearest Mean Method, Nearest Median Method Minimum Distance Method, Random Forest, Support Vector Machines |
| Combined Classifiers | Four | Simple voting classifier, linear, exponential, and polynomial weighted voting classifiers |
| Influenza epidemics | Six | Catastrophic, Mildly Catastrophic, Strong, Mildly Strong, Moderate and Mild |
| Statistical Methods | Two | McNemar and Chi-square tests |