How many hashes will be needed for calculating Jaccard index with an e – McqOptions

MCQOPTIONS

1.	How many hashes will be needed for calculating Jaccard index with an expected error less than or equal to 0.05?
A.	100
B.	200
C.	300
D.	400
Answer» E.

Discussion

No Comment Found

Related MCQs

Did Google conduct a large evaluation for comparing the performance by two technique MinHash and SimHash.
Is MinHash used as a tool for association rule learning.
How many bits are needed to specify the single permutation by min-wise independent family?
What is the time required for single variant hashing to maintain the minimum hash queue?
What is the expected error by the estimator Chernoff bound on the samples performed without replacement?
How many hashes will be needed for calculating Jaccard index with an expected error less than or equal to 0.05?
What is the expected error for estimating the Jaccard index using MinHash scheme for k different hash functions?
What is the value of the Jaccard index when the two sets are disjoint?