Why are Ensemble Methods Important in Nanotechnology?
Nanotechnology often involves dealing with complex data sets that are high-dimensional and noisy. Traditional single-model approaches may struggle to capture the nuances and variability inherent in this data. Ensemble methods can improve prediction accuracy, generalizability, and robustness, making them invaluable for tasks such as material design, drug delivery, and nanosensors.
