Table 1.
Evaluation Metric | Learning Scheme | p Value | ||||||
---|---|---|---|---|---|---|---|---|
I | II | III | III’ | I vs. II | I vs. III | II vs. III | III vs. III’ | |
sensitivity | 0.689 ± 0.391 | 0.949 ± 0.056 | 0.962 ± 0.054 | 0.977 ± 0.025 | <0.01 | <0.01 | 0.14 | 0.16 |
specificity | 0.843 ± 0.147 | 0.930 ± 0.046 | 0.937 ± 0.054 | 0.947 ± 0.030 | <0.01 | <0.01 | 0.33 | 0.19 |
precision | 0.469 ± 0.239 | 0.719 ± 0.123 | 0.752 ± 0.118 | 0.772 ± 0.061 | <0.01 | <0.01 | 0.06 | 0.13 |
mean accuracy | 0.766 ± 0.156 | 0.939 ± 0.026 | 0.950 ± 0.031 | 0.962 ± 0.014 | <0.01 | <0.01 | 0.03 | 0.06 |
value | 0.469 ± 0.243 | 0.809 ± 0.083 | 0.837 ± 0.085 | 0.860 ± 0.034 | <0.01 | <0.01 | 0.03 | 0.05 |