If required, round your answers to the nearest whole percentage. Accuracy is not the best measure to use for unbalanced data sets because less than donated. (a) Choose the correct explanation for how the probability of Donation was computed for the three observations. (i) The probability of Donation for each observation is the proportion of the 100 individual classification trees that classified the observation as "Donation." (ii) The probability of Donation for each observation is the proportion of the 100 individual classification trees that dassified the observation as "No Donation." (iii) The probability of Donation for each observation is the ratio of the individual classification trees that classified the observatior "Donation" and those that classified it as "No Donation." (iv) The probability of Donation for each observation is the ratio of the individual classification trees that classified the "No Donation" and those that classified it a5 "Donation." Why were Observations A and B classified as Donation and Observation C was classified as No Donation? If required, round your answers to one decimal place. The probability of Donation for Observation A is it is than 0.5 , so observ. classified as Donation by the random forest. The probability of Donation for Observation B is It is classified as Donation by the random forest. The probability of Donation for Observation C is classified as No Donation by the random forest. If required, round your answers to the nearest whole percentage. Accuracy is not the best measure to use for unbalanced data sets because less than donated. (a) Choose the correct explanation for how the probability of Donation was computed for the three observations. (i) The probability of Donation for each observation is the proportion of the 100 individual classification trees that classified the observation as "Donation." (ii) The probability of Donation for each observation is the proportion of the 100 individual classification trees that dassified the observation as "No Donation." (iii) The probability of Donation for each observation is the ratio of the individual classification trees that classified the observatior "Donation" and those that classified it as "No Donation." (iv) The probability of Donation for each observation is the ratio of the individual classification trees that classified the "No Donation" and those that classified it a5 "Donation." Why were Observations A and B classified as Donation and Observation C was classified as No Donation? If required, round your answers to one decimal place. The probability of Donation for Observation A is it is than 0.5 , so observ. classified as Donation by the random forest. The probability of Donation for Observation B is It is classified as Donation by the random forest. The probability of Donation for Observation C is classified as No Donation by the random forest