# Text classification: accuracy [closed]

I would like to understand how to compute the accuracy of cluster analysis. I have hundred of texts. The dataset looks like as follows:

Author  Text Checked
Shakespeare ‘...’ yes
Keats ‘...’ no
...


In text there are some quotes from the author. Checked column has been filled in manually. What I would like to do is to group texts by authors. I already did it using kmeans and TfidfVectorizer. However I would like to understand if it is possible to test the accuracy of this approach. Do you know how I could do it? In case it would be not possible, could you please tell me what other approach I could take into account? It would be good to test different approach and see the level of accuracy. Any example it would be great.