Please do not copy and paste. You get a down vote for doing that. Please do not copy and paste. You get a down vote for doing that.

The training data contain 10 positive examples (y=1) and 10 negative examples (y=0).8 out of the 10 positive examples are correctly predicted, and 6 out of the 10 negative examples are correctly predicted. Fill in the following blanks about the metrics: True positive (TP) count = False positive (FP) count = True negative (TN) count = False negative (FN) count = Accuracy = Precision = (rounded to two decimals) Recall = F1 score = (rounded to two decimals)