Obtained results from evaluation show an interesting trend in decreasing both average and Hausdorff distances. Table 7 and Table 8 express the numerical evaluation based on average and Hausdorff OFs, respectively. Comparing with the best set of results (obtained by using RF with 65% sampling), a slight improvement is observed (1.048 mm for weighted RF vs. 1.052 mm for weightless). Note that both regressors are built using sampled dataset with the rate of 65%. Same decreasing trend is observed while the Hausdorff OF in considered (comparing 4.083 mm for weighted RF vs. 4.100 mm for weightless RF). This improvement certifies the assumption that the provision of a suitable weighting approach can lead the regression to predict post-surgery models with less distance evaluations. It should be noted that the weight assignment strategy has a significant impression to decrease the distance between predicted and post-surgery PCLs. Therefore, a new line of research is opened to investigate appropriate strategies to improve the prediction of breast shape using RF.