Sensitivity: Revision history

10 June 2025

• curprev 06:2406:24, 10 June 2025 Thakshashila talk contribs 2,293 bytes +37 →SEO Keywords
• curprev 05:2005:20, 10 June 2025 Thakshashila talk contribs 2,256 bytes +2,256 Created page with "= Sensitivity = '''Sensitivity''', also known as '''Recall''' or the '''True Positive Rate (TPR)''', is a performance metric used in classification problems. It measures how well a model can identify actual positive instances. == Definition == :<math> \text{Sensitivity} = \frac{TP}{TP + FN} </math> Where: * '''TP''' = True Positives – actual positives correctly predicted * '''FN''' = False Negatives – actual positives incorrectly predicted as negative Sensitivit..."