Causal Inference
Accuracy refers to the degree of closeness between a measured value and the true value or the actual outcome. In the context of algorithms, particularly hybrid algorithms, accuracy is critical as it influences the reliability and effectiveness of the results generated. Achieving high accuracy involves careful consideration of various factors such as data quality, model selection, and parameter tuning, all of which can significantly affect the final performance of a hybrid algorithm.
congrats on reading the definition of accuracy. now let's actually learn it.