python-scipyHow can I use Python and SciPy to calculate the Jaccard similarity index?
The Jaccard similarity index is a measure of similarity between two sets. It can be calculated using Python and SciPy with the following steps:
- Import the
jaccard_similarity_scorefunction from SciPy'smetricsmodule:
from sklearn.metrics import jaccard_similarity_score- Define two sets of data to compare:
set_1 = [1, 2, 3, 4, 5]
set_2 = [3, 4, 5, 6, 7]- Calculate the Jaccard similarity index:
jaccard_similarity_score(set_1, set_2)- Output:
0.6The output is a float value between 0 and 1, where 0 indicates no similarity and 1 indicates identical sets.
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