What does “False Negative” mean?

An incorrect prediction where a model incorrectly flags a negative case as positive.

The core training algorithm that updates model weights by propagating prediction errors backward through the network.

A reasoning style where an AI model decomposes a problem into intermediate steps.

A task where a model assigns an input to one or more predefined categories.

A common objective function used to train classification models by penalizing incorrect probabilities.

A generative setup where a generator and discriminator train against each other.