Python script used to avail the efficiency of different regressor methods in predicting 2 desired outputs (columns) based on a 4 input (columns) table of N lines, where "N" denotes the number of simulations used to generate the database.
The database was created based on numerical simulations developed in another in-house, written by Rafael Gabler (github.com/rafaelgabler) in FORTRAN.
The input data in this example consists in:
1 - The amplitude of the applied field; 2 - The frequency of the applied field; 3 - The volume fraction of particles used in the magnetic fluid; 4 - The nominal radius of the nanoparticles used in the production of the magnetic fluid;
This script was developed to test the hability of different algorithms in predicting the steady state temperature at the center of a spherical tumour subjected to magnetic hyperthermia and the necessary time for the system to achieve steady-state regime for different combinations of these 4 input data.