rra.print {iRRA} | R Documentation |
Taking as input a "rra_result" object, it will print the RoI's borders information and the resulting Ratio of Relevant Areas (RRA)
rra.print(rra_result)
rra_result |
The "rra_result" object to print |
This function will print the meaning of the Region of Interest selected; it will highlight what performance values are matched by all the points within the RoI space.
If rra_result
represents the AUC of the ROC curve it will just print the resulting Area Under the Curve
## Not run: # rra_result <- rra(roc_x, roc_y, AP, AN, fallout = TRUE, c_fallout = 0.6, phi = TRUE), rra.print(rra_result) will print: > The generated Region of Interest (RoI) represents the points in the ROC space that have: > A better fallout value than 0.6, > A better phi value than 0.4. > The Ratio of Relevant Areas (RRA) is equal to [value] # If rra_result <- rra(roc_x, roc_y, AP, AN), > The AUC of the ROC curve is equal to [AUC value] # rra(roc$x, roc$y, app, ann, fallout = TRUE, c_fallout = 0.6, fm = TRUE, c_fm = "uni", p_fm = 0.4) > The generated Region of Interest (RoI) represents the points in the ROC space that have: > A better fallout value than 0.6, > A better FM value than a uniform random policy ("uni") with p(m) = 0.4, > The Ratio of Relevant Areas (RRA) is equal to [value] ## End(Not run)