I'm working on a kNN classifier to classify whether a text is written by a man or a woman on the basis of the most frequent words. However, a kNN doesn't show which features were the most important in the classification. I got the suggestion to fit a logistic regression on my training data and labels to see which words were the most important in the classification task.
Now I have a list of the top 20 positive words and coefficients and top 20 words with negative coefficients. I do not know how to interpret these. I can see that the logistic regression has the classes F and M (don't know which one is 0 and which is 1), but is it possible to argue that the positive coefficients belong to the F class and the negative belong to the M class?