Results for "positive predictive value"

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

Of predicted positives, the fraction that are truly positive; sensitive to false positives.

Often more informative than ROC on imbalanced datasets; focuses on positive class performance.

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

Fundamental recursive relationship defining optimal value functions.

Combines value estimation (critic) with policy learning (actor).

Average value under a distribution.

Sample mean converges to expected value.

Optimizes future actions using a model of dynamics.

Learning by minimizing prediction error.

AI predicting crime patterns (highly controversial).

Stores past attention states to speed up autoregressive decoding.

Expected cumulative reward from a state or state-action pair.

Decomposes a matrix into orthogonal components; used in embeddings and compression.

Model optimizes objectives misaligned with human values.

Maximum expected loss under normal conditions.

Inferring and aligning with human preferences.