-- May 11 In-Class Exercise
P@100 = x
N = 5000 = corpus
K = 100 = batch
N/X = # batches = 5000/100 = 50 batches
N-X = threshold = 5600 - 100 = 4900
K=pN > 100 = p*5000 >p = row = 0.02
procedure would follow as:
compute threshold (4900), go through all 50 batches, get document that scores over 4900, determine the relevance ( human test), then calculate precision and the average of all the batches, Compute aggregate P@100.
P@100 = x
N = 5000 = corpus
K = 100 = batch
N/X = # batches = 5000/100 = 50 batches
N-X = threshold = 5600 - 100 = 4900
K=pN > 100 = p*5000 >p = row = 0.02
procedure would follow as:
compute threshold (4900), go through all 50 batches, get document that scores over 4900, determine the relevance ( human test), then calculate precision and the average of all the batches, Compute aggregate P@100.