The rest of this paper is organized in five sections. Section 2 is focused on the design and construction of a dataset, with a brief description of the breast anatomy and a detailed explanation of the surgery simulator used to generate the dataset instances. In Section 3, the methodology followed in this work is described, from the feature engineering step to the machine learning approaches used. Implementation of the aforementioned regressions, together with numerical evaluations are explained in Section 4, indicating a promising prediction of the breast shape. Then, the complementary discussions will be expressed in Section 5. Finally, the explanations of the proposed methodology and generated dataset are wrapped up in Section 6, as conclusion.