results of get_matches() are not sorted by similarity score for all the values

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Hi,

I was running polyfuzz tfidf model to get the matches but few rows of the result was not sorted as per the top_n similarity score.
```python
tfidf_model = PolyFuzz(tfidf_matcher)
tfidf_model.match(from_list, to_list)
tfidf_model.get_matches()
```

eg:
| | From | To | Similarity | To_2 | Similarity_2 | To_3 | Similarity_3 | To_4 | Similarity_4 | To_5 | Similarity_5 |
|---:|:------------------------------|:------------------------------|-------------:|:---------------------------------|---------------:|:------------------------------------------|---------------:|:------------------------------------|---------------:|:----------------------------|---------------:|
| 21 | 3 IN 1 LAVENDER & CAMOMILE | 2 IN 1 LAVENDER & CAMOMILE | 0.938 | 3 IN 1 LAVENDER & CAMOMILE | 1 | 3 IN 1 LAVENDER | 0.771 | 3 IN 1 LAVENDER & CHAMOMILE | 0.831 | LAVENDER CAMOMILE | 0.764 |

Reproduce the issue with the shown PolyFuzz(tfidf_matcher), match(), and get_matches() calls, using the example row as a check. Start at the get_matches() entry point and trace how the TF-IDF results become the similarity columns. Done means every returned row orders its matches consistently by descending similarity score.

Written by the indexing model from the issue text.