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Cartucho
About the P-R curve
Hello,I have one problem about the P-R curve.
The curve in the above picture is normal,but my picture didn't like this.
Why is there no content in the red circle?
They are assuming that the recall goes to 1 if the precision goes to 0. Meaning that if your object detector was bad (precision 0), it would detect an infinite amount of objects which would bring the recall value to 1.
Do you think we should draw it anyway? Even if it does not relate to your real data?
Do you think we should draw it anyway? Even if it does not relate to your real data?
Then why are they different?I mean the the x-coordinate of P-R curves are different according to my classess,one is up to about 0.78,another is up to about 0.64,even 0.5*.
Is it related the amount of some class?The larger the number, the larger the abscissa can be？
The two classes do not need to have the same recall score. Your object detector may be good at detecting humans but not at detecting bananas for example.
Do you think we should draw it anyway? Even if it does not relate to your real data?
if I want to draw this parts, how to draw it?
Do you think we should draw it anyway? Even if it does not relate to your real data?
I don‘t get it.With out drawing it,how can we caculate the area under the P-R curve？The curve is not closed any way.Sorry，my English is poor. I don't know if you get me.
Can we extend your code to somehow get closed PR curves? Maybe compute recall at other values as well? Or extrapolate?
