Let’s assume that four participants (A, B, C and D) take on five sport-challenges (e.g. swimming, running, ...). Our goal is to predict the placement of each participant for each challenge. Moreover, let’s assume we have appropriate predictors. We know that each placement (1 to 4) is unique for each challenge (only one winner ...).
I think this prediction task is a multi-label multi-output classification, right?
Are there any algorithms, which provide unique forecasts (for each class). In other words, the algorithm should classify each person in one unique class (1 to 4). Obviously, we know a priori that same placements are very unlikely.