[R] Can you suggest a better loss function?

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https://preview.redd.it/1xmwgau8ah891.png?width=751&format=png&auto=webp&s=b6cda1663b2be18278f7c46d4deea1394b20a3d9

The problem is a simple classification task where y\_pred is the predicted label and y\_0 is the ground truth. Even though y\_0 is the actual label, if the model predicts y\_1, the loss function shouldn't penalize too much because y\_0 and y\_1 are nearly similar, and the similarity decreases in the order \[y\_0, y\_1,...., y\_n\]. Therefore, if the model predicts y\_n, the model should be penalised the most. Given that we have the order (\[y\_0, y\_1,...., y\_n\]; which …

function loss machinelearning