The ERROR when predicting an N classification when the M classification is unknown is 60%. $\lambda$_N.M = .5. If the M classification is taken into account,_____of the N classification should now be predicted correctly. A) 30% B) 40% C) 50% D) 60% E) 70%

Question

Quizplus · Accepted Answer

Given that the error rate when M classification is unknown is 60%, this means the correct prediction rate is 40% (100% - 60%). The formula provided, F1F1F1S1$\lambda$F1F1F10_N.M = .5, suggests that taking the M classification into account improves the prediction accuracy by a factor of 0.5. Therefore, to find the new accuracy, we add 50% of the original accuracy (40%) to itself: 40% + (0.5 * 40%) = 40% + 20% = 60%. However, since the question asks for the improvement when the M classification is known, and we've established the new accuracy rate is 60%, this means the correct prediction rate of the N classification improves to 70% because the error rate decreases to 30% (100% - 70%).

The ERROR When Predicting an N Classification When the M λ\lambdaλ

The ERROR When Predicting an N Classification When the M $\lambda$