Effect of Threshold Selection
Explore the impact of threshold selection on binary classification models, focusing on how changing thresholds influences precision and recall trade-offs. Understand how setting thresholds for different subgroups can improve fairness and help mitigate bias in AI systems.
We'll cover the following...
We'll cover the following...
Influence of threshold
When we perform binary classification by default, we assume the threshold to be 0.5. If the prediction score is greater than it, we consider the prediction positive. However, we can manipulate the threshold value to modify model behavior. ...