Setting the precision value for recall=0 to 1 can lead to significant overestimation. The fewer points are on the curve the higher the impact. For typical proposal-based setups this is often not significant, however for proposal-free setups (which basically results in the curve having only a single point) this is significant.
In one of our experiments (real model trained on real data) this lead to an overestimation of 6 percentage points.
To fix it the precision at recall=0 should be set to the same precision as at the lowest recall value.
Setting the precision value for recall=0 to 1 can lead to significant overestimation. The fewer points are on the curve the higher the impact. For typical proposal-based setups this is often not significant, however for proposal-free setups (which basically results in the curve having only a single point) this is significant. In one of our experiments (real model trained on real data) this lead to an overestimation of 6 percentage points.
To fix it the precision at recall=0 should be set to the same precision as at the lowest recall value.