Figure 6
Four radar charts comparing training and test values across six models: G P R, E T, L R, N N, R T, and S V M.The diagram consists of four radar charts arranged in a 2 by 2 grid, labeled (a), (b), (c), and (d). Each chart displays hexagonal radar plots with six axes radiating from the center, labeled clockwise from the top as G P R, E T, L R, N N, R T, and S V M. Each chart includes a legend indicating “Training” in red and “Test” in pink. Chart (a): The radial axis values range from 0 to 1.0 in increments of 0.2. The red line representing Training connects the following approximate values: G P R: 0.97, E T: 0.88, L R: 0.7, N N: 0.92, R T: 0.66, S V M: 0.82. The pink line representing Test connects the following approximate values: G P R: 0.88, E T: 0.84, L R: 0.49, N N: 0.86, R T: 0.54, S V M: 0.73. Chart (b): The radial axis values range from 0 to 0.20 in increments of 0.05. The red line representing Training connects the following approximate values: G P R: 0.04, E T: 0.09, L R: 0.14, N N: 0.07, R T: 0.15, S V M: 0.12. The pink line representing Test connects the following approximate values: G P R: 0.09, E T: 0.1, L R: 0.17, N N: 0.1, R T: 0.17, S V M: 0.13. Chart (c): The radial axis values range from 0 to 0.16 in increments of 0.04. The red line representing Training connects the following approximate values: G P R: 0.03, E T: 0.07, L R: 0.12, N N: 0.04, R T: 0.13, S V M: 0.07. The pink line representing Test connects the following approximate values: G P R: 0.02, E T: 0.06, L R: 0.09, N N: 0.04, R T: 0.1, S V M: 0.07. Chart (d): The radial axis values range from 0 to 60 in increments of 10. The red line representing Training connects the following approximate values: G P R: 11.89, E T: 21.33, L R: 46.39, N N: 16.42, R T: 36.69, S V M: 27.7. The pink line representing Test connects the following approximate values: G P R: 0.21, E T: 22.49, L R: 52.53, N N: 10.96, R T: 43.43, S V M: 25.67.

Radar plots for different machine learning models in thermal conductivity prediction ((a) R2, (b) RMSE, (c) MAE and (d) MAPE)

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