A classification study involving several classifiers was carried out. After training and the usual validation step, the following table shows results for classifiers tried. In below, classifiers are identified as M1, M2 and so on. Specificity Sensitivity M1 0.83 0.79 M2 0.93 0.69 M3 0.73 0.89 M4 0.47 0.45 M5 0.04 0.15 M6 0.14 0 M7 0.33 0.6 M8 0.73 0.21 M9 0.48 0.99 M10 0.94 0.08 Select one: a. M9 dominates M7 b. By swapping zeroes and ones, the performance of M1 does not change much C. By swapping zeroes and ones, M4 can be improved d. M2 dominates both M3 and M6 e. By swapping zeroes and ones, M1 can be improved

A classification study involving several classifiers was carried out. After training and the usual validation step, the following table shows results for classifiers tried. In below, classifiers are identified as M1, M2 and so on. Specificity Sensitivity M1 0.83 0.79 M2 0.93 0.69 M3 0.73 0.89 M4 0.47 0.45 M5 0.04 0.15 M6 0.14 0 M7 0.33 0.6 M8 0.73 0.21 M9 0.48 0.99 M10 0.94 0.08 Select one: a. M9 dominates M7 b. By swapping zeroes and ones, the performance of M1 does not change much C. By swapping zeroes and ones, M4 can be improved d. M2 dominates both M3 and M6 e. By swapping zeroes and ones, M1 can be improved