Z Score

Z-score standardization, a data preprocessing technique, centers and scales data to a mean of zero and a standard deviation of one, improving the performance of various machine learning algorithms. Current research focuses on its application in diverse fields, including deep learning (where it enhances gradient descent optimization) and medical image analysis (where it aids in biomarker identification and disease prediction). The effectiveness of z-score normalization is being rigorously evaluated across different algorithms, such as k-means clustering and gradient boosting, and datasets, demonstrating its broad utility in improving model accuracy and efficiency.