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False Negative
AI Glossary Term
What is False Negative?
Definition
An incorrect prediction where a model misses a true positive case.
Related terms
False Positive
An incorrect prediction where a model incorrectly flags a negative case as positive.
Backpropagation
The core training algorithm that updates model weights by propagating prediction errors backward through the network.
Chain-of-Thought
A reasoning style where an AI model decomposes a problem into intermediate steps.
Classification
A task where a model assigns an input to one or more predefined categories.
Cross-Entropy Loss
A common objective function used to train classification models by penalizing incorrect probabilities.
GAN (Generative Adversarial Network)
A generative setup where a generator and discriminator train against each other.
Learn more in our free guides
Negative Sampling and Noise Contrastive Estimation
Online and Hard Negative Mining
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