INFO-002Derivationtrack →The true label is class 0; the model outputs 0.99 for class 1. Why does cross-entropy punish this confident wrong prediction so hard?
prerequisite: INFO-001
Context fixture{
"truth": 0,
"predictedClass1": 0.99
}
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