Table 3. Classification results from linear discriminant analysis of pancreas data into pancreatic cancer (PC) and chronic pancreatitis (CP) groups.
Classification was performed using midband fit and RMS deviation as independent variables, and the reported values used “leave one out” cross-validation. Rows 1–2: Classification results using counts. Rows 3–4: Classification results using percentages. The overall accuracy of classification was 83%. (See Figure 3 for the corresponding scatterplot and ROC curve.)
| Tissue State | Predicted State | |||
|---|---|---|---|---|
|
| ||||
| PC | CP | Total | ||
| Count | PC | 12 | 3 | 15 |
| CP | 2 | 13 | 15 | |
| % | PC | 80.0 | 20.0 | 100 |
| CP | 13.3 | 86.7 | 100 | |