what's the meaning of high precision and very much low recall of a recommender system ?

Question

I have not much knowledge about precision and recall. I have design a recommender system. Its gives me precision value = 0.409 and recall value = 0.067 we know that precision and recall are inversely related though I am not sure about that. Then what about my system??

Its that ok if I can increase precision value and decrease recall value?

score 1 · Accepted Answer · answered Aug 06 '17 at 06:36

1

Precision is the percentage of your correctness when you choose positive since it depend on you prediction when you choose positive only (Depend on model positive prediction only ) an. In the other side , Recall measure whats you percentage of correctness in the positive Class (i.e in the All positive cases what is the percentage of true decision that the model take).

answered Aug 06 '17 at 06:36

ZAhmed

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then what about my above system? – Robiul Islam Aug 06 '17 at 06:42
The Recall is too low. This means in the cases that the real answer is True, your model choose correct with percentage of 0.067 which is too low. Suppose you have 100 case that there answer is True, your model in 6.7 case decide that the answer is true and in the 93.3 the decide that the answer is false. – ZAhmed Aug 06 '17 at 06:54
that means I also have to increase the value of recall – Robiul Islam Aug 06 '17 at 07:00
Yes you have :) – ZAhmed Aug 06 '17 at 07:08
Was it Useful answer ? – ZAhmed Aug 06 '17 at 09:50

what's the meaning of high precision and very much low recall of a recommender system ?

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