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. 2022 Jan 27;7(5):4194–4201. doi: 10.1021/acsomega.1c05820

Table 2. Machine Learning Models Evaluation.

measure data RFR ADA SVR GDT
R2 training 1.0000 1.0000 0.9950 1.0000
  testing 1.0000 1.0000 0.9930 1.0000
  validation 1.0000 1.0000 0.9910 1.0000
RMSE training 0.0000 0.0000 0.0873 0.0169
  testing 0.0000 0.0000 0.1001 0.0161
  validation 0.0000 0.0000 0.1131 0.0156
MAE training 0.0000 0.0000 0.0677 0.0113
  testing 0.0000 0.0000 0.0775 0.0106
  validation 0.0000 0.0000 0.0792 0.0103