Range transformation is a mathematical technique used to map a set of input values from one range to another, often to improve the performance of algorithms or to standardize data for comparison. It is crucial in data preprocessing, especially in machine learning, where it ensures that features contribute equally to the result, preventing bias towards features with larger ranges.