Calibration Curve
A calibration curve is a graphical or mathematical relationship used in analytical chemistry and data science to relate the measured response of an instrument or method to the concentration or quantity of a substance being analyzed. It is typically constructed by measuring known standards and fitting a curve (often linear) to the data points. This curve is then used to interpolate or extrapolate unknown sample concentrations from their measured responses.
Developers should learn about calibration curves when working in fields like data science, machine learning, or scientific computing, especially for tasks involving quantitative analysis, sensor data processing, or instrument calibration. For example, in machine learning, calibration curves assess the reliability of probabilistic predictions by comparing predicted probabilities to actual outcomes, helping to improve model accuracy in applications like fraud detection or medical diagnosis.