Table 1.
Instance no. | True status | Conclusion | Instance no. | True status | Conclusion | ||||
---|---|---|---|---|---|---|---|---|---|
(A) | (B) | ||||||||
118 | Case | 0.5132 | 0.6442 | Improved | 29 | Case | 0.4896 | 0.6215 | Corrected |
811 | Case | 0.5005 | 0.9954 | Improved | 39 | Case | 0.5495 | 0.9332 | Improved |
1024 | Case | 0.5225 | 0.9034 | Improved | 375 | Case | 0.5290 | 0.9450 | Improved |
1077 | Control | 0.4590 | 0.2712 | Improved | 435 | Control | 0.4726 | 0.0838 | Improved |
1126 | Case | 0.5140 | 0.9823 | Improved | 1026 | Case | 0.5352 | 0.8606 | Improved |
1128 | Control | 0.4987 | 0.0508 | Improved | 1086 | Control | 0.4549 | 0.1960 | Improved |
1365 | Control | 0.4525 | 0.3326 | Improved | 1495 | Case | 0.5015 | 0.7915 | Improved |
1482 | Case | 0.5277 | 0.6845 | Improved | 1597 | Case | 0.5398 | 0.8696 | Improved |
1655 | Control | 0.4545 | 0.0392 | Improved |
(A) Results of using to remedy . (B) Results of using to remedy . The 3rd and 3th columns are posterior probabilities of diagnosing instances as “positive” using the main model (i.e., for (A) and for (B)) and the remedying model (i.e., for (A) and for (B)). Only an instance with posterior probability of being diagnosed as “positive” equaling from 0.45 to 0.55 is considered by remedying procedures. Taking the 29th instance (case) for example, accepts “negative” because the posterior probability of diagnosing it as “positive” equals 0.4896 ; corrects the diagnosis with posterior probability of making correct diagnosis, 0.6215 . In this situation, we label the conclusion as corrected. For the 1655th instance (control), remedies by improving the posterior probability of making correct diagnosis from 0.5455 to 0.9608 . In this situation, the conclusion is labeled as improved. Other results can be explained similarly.