Predicting the critical superconducting temperature using the random forest, mlp neural network, m5 model tree and multivariate linear regression

The University of Oviedo's Department of Mathematics generously provided computational assistance, which the authors gratefully acknowledge. Likewise, the authors would like to thank Anthony Ashworth for revising this research paper in English.

Repositorio Institucional de la Universidad de Oviedo

Predicting the critical superconducting temperature using the random forest, mlp neural network, m5 model tree and multivariate linear regression

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