Created
February 16, 2021 21:31
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Calculate normalized Discounted Cumulative Gain (nDCG)
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import math | |
user1 = [1,1,1,0,0,1,0] | |
user2 = [1,1,0,0,0,0,0] | |
user3 = [0,0,1,1,0,1,0] | |
def calcNdcg(user): | |
idcg = getIdcg(len(user)) | |
dcg = getDcg(user) | |
ndcg = dcg / idcg | |
print(ndcg) | |
return ndcg | |
def getIdcg(n): | |
idcg = 0 | |
for i in range(1, n + 1): | |
idcg = idcg + 1 / math.log2(i + 1) | |
return idcg | |
def getDcg(user): | |
dcg = 0 | |
for i in range(1, len(user) + 1): | |
dcg = dcg + user[i - 1] / math.log2(i + 1) | |
return dcg | |
n1 = calcNdcg(user1) | |
n2 = calcNdcg(user2) | |
n3 = calcNdcg(user3) | |
print("Average: " + str((n1 + n2 + n3) / 3)) |
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