SKLearn Metrics Precision, Recall, F-Score and Support

Precision:

• If it's 1 it means all positives are correct
• It may be that many other positives for this class are wrongly labelled as negative (and categorised in other classes), but that's not measured in this metric
• The lower it is, it means more entries from other categories are being mis-classified here

Recall:

• If it's 1 it means it managed to find all the positive samples
• It may be that it wrongly classified other samples for other categories here, but that's not measured in this metric
• The lower it is, it means more entries from this category are being mis-classified into other categories

F-Score: Some kind of mean between precision and recall

Support: Number of occurrence in each category

Reference: http://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html