Let's return to the dog-fox data. Your task is to predict if there is a fox (F) in a picture. You've trained a classifier and got the first predictions. Now you'd like to compare predicted values with the real ones and calculate the f-score of your model.
| True | F | F | D | D | D | F | D | D | F | F |
| Predicted | F | D | D | F | F | F | D | D | F | F |
Round your answer to 2 decimal places.