Jaccard index for unsupervised clustering

TL;DR - Don't use sklearn jaccard_score function when dealing with unsupervised clustering. The Jaccard Index is a similarity measure used to compare the similarity and diversity of sample sets. It's calculated as the intersection divided by the union of sample sets. While it's a useful metric, its direct application in scikit-learn's jaccard_score is not suitable for unsupervised clustering…