Question: what is fscore in machine learning?
Answer: The F1 score, also called the F score or F measure, is a measure of a test's accuracy. The F1 score is defined as the weighted harmonic mean of the test's precision and recall. This score is calculated according to the formula : 2*((precision*recall)/(precision+recall))