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Different types of tubes have been used to improve cooling systems regarding the performance, cost and compactness. Corrugated tubes are tubes with their inner surface enhanced in these systems. One of the applications of machine learning, named as pattern classification, is often used to separate the human faces, voices, finger prints etc. In this study, it is used to separate the R134a data taken in-tube boiling process in smooth and enhanced tubes automatically. In other words, the developed numerical algorithms enabled artificial intelligence to predict the type of tubes having equivalent diameters used in the experiments. Systematical experiments, including saturation temperatures of 10, 15 and 20 °C, mass fluxes of 200, 300 and 400 kg m^− 2 s^− 1 and heat fluxes of 20, 25 and 30 W m^− 2, are carried out for the comparisons using smooth and 5 different types of corrugated tubes having various corrugation …