Machine learning-based method for linearization and error compensation of a novel absolute rotary encoder

•Machine learning-based methods can improve the performance of measuring systems.•A novel concept of optical, absolute, rotary encoder was used as a case of study.•An experimental setup was built to automatically generate labeled training data.•Most popular machine learning algorithms were used and their performance were compared.