Results for "true negative rate"

Plots true positive rate vs false positive rate across thresholds; summarizes separability.

Adjusting learning rate over training to improve convergence.

Iterative method that updates parameters in the direction of negative gradient to minimize loss.

Exponential of average negative log-likelihood; lower means better predictive fit, not necessarily better utility.

Of true positives, the fraction correctly identified; sensitive to false negatives.

Of true negatives, the fraction correctly identified.

The degree to which predicted probabilities match true frequencies (e.g., 0.8 means ~80% correct).

Measures divergence between true and predicted probability distributions.

Gradually increasing learning rate at training start to avoid divergence.

Probabilities do not reflect true correctness.

Maximum system processing rate.

Rate at which AI capabilities improve.

Failure to detect present disease.

Controls the size of parameter updates; too high diverges, too low trains slowly or gets stuck.