The search for ferromagnetic materials with high Curie temperature (<i>T</i><sub>c</sub>) is a hot issue in condensed matter physics. In this work, an effective machine learning model of based on material component information established to predict variety temperature. Based the collected data 1568 materials, and taking as descriptors, work four efficient models are con...