Small-scale farmers use scales, which are difficult to access or maintain, to measure body weight. In this study, we developed models to predict body weight in Kuroiler male chickens using data-mining algorithms, namely multivariate adaptive regression splines (MARS) and classification and regression trees (CART). The CART model was more accurate than the MARS model, with both models identifying wing span and chest circumference as crucial factors in predicting body weight.