Semnan University Press Mechanics of Advanced Composite Structures 2423-4826 13 2 2026 11 01 Hybrid Polymer Composite Tensile Strength Estimation Using K-Nearest Neighboring Classification Algorithm 319 338 9840 10.22075/macs.2025.36748.1798 EN Vijaykumar Shivashankar Jatti Symbiosis Skills and Professional University, Kiwale, Pune, Maharashtra, India 0000-0001-7949-2551 Neeta Deshpande R.H. SAPAT College of Engineering, Management Studies and Research, Maharashtra, India Saiyathibrahim Abdulpari Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, Chennai, Tamil Nadu, 602105, India Balaji Karuppiah Department of Aeronautical Engineering, Parul Institute of Engineering and Technology, Parul University, India 0000-0001-9012-4055 Journal Article 2025 01 30 The aim of this research work is to characterize the tensile strength of ABS-Cu and ABS-Al composites of different proportions of percentage compositions, as well as the incorporation of surfactant material. For the analysis carried out in the present study, the k-Nearest Neighboring (kNN) classification algorithm is used in order to predict the tensile strength of the various compositions of the ABS-Al and ABS-Cu composites. Real data was not used to train the model due to the time-consuming process; instead, they resorted to synthetic data for the classification model, and for the tensile strength data, they were trained and predicted with better results. The kNN classification algorithm of the ABS-Cu predicted the k-value accuracy to be 80% for k=1 and k=2, and 85% for k=3 and k=5. Similarly, the prediction accuracy for the ABS-Al composition yielded the same results: As the value of k is increased, the required percentage of samples is 80% for k=1 and k=2, 85% for k=3, and 90% for k=5, respectively. The kNN classification algorithm model was also successful in predicting tensile strength, with a recall of more than 80% and an F1 score of 90-95%. A higher quantity of copper and aluminium is said to have the ability to improve the tensile strength of the specimens. https://macs.semnan.ac.ir/article_9840_62306523b3c77c077b2938f0d6ab91f5.pdf