Compared to other contemporary methods of survival analysis, logistic regression is a very understandable method for generating predictions of survival likelihood and conducting subsequent comparison of predicted outcomes with actual outcomes to assess the quality of predictions.
In case of the predictivity, the evaluation is on the basis of the quality of predictions for a population of chemicals.
To quantify the quality of predictions of HMCan and other tools, we calculated overlap between the predicted regions and the simulated regions at the base pair level.
By comparison of predicted outcomes with actual outcomes, we further calculated the four measures for reflecting the quality of predictions in different perspectives.
(If you suspect that secret information might make for better decisions, Philip E. Tetlock, of the University of Pennsylvania, has found, in his extensive studies of how well experts forecast political events, that access to classified information has zero impact on the quality of predictions).
This, however, does not influence the quality of predictions significantly.
The role of a human agent is to supervise the quality of predictions using various aides.
The quality of predictions thus relies on most exact framing along the dimensions of this model.
