This study explores the effectiveness of various Machine Learning Algorithms in identifying tonal contrasts in the Chokri language. The results show that Random Forest algorithm is the most accurate and combining f0 height and directionality enhances tonal contrast recognition for female speakers. This methodology can be applied to other fields such as image processing and social network analysis.