Table 3. Comparison of the predictive performance of different machine learning method.
Variable | T cell | Training/testing set | ACC | AUC | Sensitivity | Specification |
---|---|---|---|---|---|---|
Acute simple appendicitis vs. acute purulent appendicitis | T cell subsets | Training set | 0.875 | 0.904 | 0.750 | 1.0 |
Testing set | 0.875 | 0.910 | 0.750 | 1.0 | ||
T cell subsets with clinical | Training set | 0.910 | 0.921 | 0.819 | 1.0 | |
Testing set | 0.906 | 0.926 | 0.812 | 1.0 | ||
Acute purulent appendicitis vs. acute gangrenous or perforated appendicitis | T cell subsets | Training set | 0.826 | 0.834 | 0.819 | 0.833 |
Testing set | 0.806 | 0.821 | 0.903 | 0.710 | ||
T cell subsets with clinical | Training set | 0.806 | 0.867 | 0.736 | 0.875 | |
Testing set | 0.774 | 0.854 | 0.903 | 0.645 |
ACC, accuracy; AUC, area under the curve.