F-점수와 정확도

From Eyewire
Revision as of 07:15, 1 May 2016 by Wm05055 (Talk | contribs)

Jump to: navigation, search

==아이와이어에서는 F-점수에 기반하여 정확도가 주어집니다. F-점수는 precision과 recall이라고 불리는 두가지 지수를 통계적으로 종합하여 주어집니다. 쉽게 말하자면 운영자들이 여러분의 정확도를 알기 위해 무엇을 추가하고 무엇을 놓쳤는가에 대한 척도로 F-점수를 이용한다는 것입니다. F-점수에 대한 전통적인 식은 다음과 같습니다.

Error creating thumbnail: Unable to save thumbnail to destination

Before we can calculate the final F-score first we must calculate your individual precision and recall. When a player does a cube there are four possible outcomes for every segment in that cube: a true positive result, a false positive result, a false negative result and a true negative result. A true positive (tp) result is when a player adds a segment that should be added. A false positive (fp) is when a player adds a segment that should not be added. A false negative (fn) is when a player misses a segment they should have added. A true negative (tn) is when a player correctly leaves out a segment that does not belong. In the figure below you can see an example of false negative and of false positive.


NewFScoreEyeWire.png
To the left is an example of a branch submitted by a player. In this example the red and the green segments are what the player submitted, while the purple segment was left out.


The red segment here is a false positive and the purple segment is a false negative. The player mistakenly added the red segment when they should have added the purple segment instead. The green segment is correct.


This brings us to precision; precision is how much of a volume was added correctly. For example if Player A has a precision 0.9221 that means about 92% of what Player A added was correct and about 8% of what Player A added should not have been added. To determine a player’s precision we use their true positive (tp) results, correctly added, and their false positive (fp) results, incorrectly added, in this formula:
Error creating thumbnail: Unable to save thumbnail to destination


Recall measures how much of the volume was missed. Let’s say Player A has a recall of 0.9409. That means that Player A missed about 6% of the correct segments in the cubes Player A worked on. To determine a player’s recall we use their true positive (tp) results, correctly added, and false negative (fn) results, incorrectly missed, in this formula:
Error creating thumbnail: Unable to save thumbnail to destination


Now we would take the results from both of those formulas and plug them into the formula above to get a player’s F-score. Another way to look at it is we take the harmonic mean of a player’s precision and recall to get their overall accuracy rating.

How Accurate are F-Scores?

One question we a get a lot is how do we know what is correct and what isn’t? What is correct is determined by combining the GrimReaper’s corrections with the EyeWirer consensus. If a cube does not have a GrimReaper correction we just use the EyeWirer consensus. EyeWire consensuses have proven to be quite accurate. However, there is still a small chance that a consensus may contain a wrong piece. This means that F-scores cannot prove user accuracy 100% of the time. However, they are accurate enough that we feel confident using them as a player guide.