Sensitivy

Sensitivity refers to the ability of a system, model, or method to detect or respond to small changes orinputs.

Fields of Application:

1. Statistics: In statistics, sensitivity refers to the ability of a statistical test to detect a significant difference or effect.
2. Signal Processing: In signal processing, sensitivity refers to the ability of a system to detect small signals or changes in a signal.
3. Medical Diagnosis: In medical diagnosis, sensitivity refers to the ability of a diagnostic test to correctly identify people with a particular disease or condition.
4. Machine Learning: In machine learning, sensitivity refers to the ability of a model to detect subtle patterns or changes in data.

Key Concepts:

1. Specificity: Specificity is the ability of a system or model to correctly identify true negatives (i.e., absence of a condition or effect).
2. Accuracy: Accuracy is the overall ability of a system or model to correctly classify or predict outcomes.
3. ROC Curve: A ROC (Receiver Operating Characteristic) curve is a graphical representation of the sensitivity and specificity of a system or model