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. 2017 Oct 11;8:872. doi: 10.1038/s41467-017-00839-3

Table 2.

Prediction errors on H2 and H2O

Molecule M ML-KS ML-HK
ΔE ΔR o Δθ 0 ΔE ΔEDML ΔR o Δθ 0
MAE Max MAE Max MAE Max
H2 5 1.3 4.3 2.2 0.70 2.9 0.18 0.54 1.1
7 0.37 1.4 0.23 0.17 0.73 0.054 0.16 0.19
10 0.080 0.41 0.23 0.019 0.11 0.017 0.086 0.073
H2O 5 1.4 5.0 2.1 2.2 1.1 4.9 0.056 0.17 2.3 3.8
10 0.27 0.93 0.63 1.9 0.12 0.39 0.099 0.59 0.12 0.38
15 0.12 0.47 0.19 0.41 0.043 0.25 0.029 0.14 0.064 0.23
20 0.015 0.064 0.043 0.16 0.0091 0.060 0.011 0.058 0.024 0.066

Errors are shown for increasing numbers of training points M for the ML-KS and ML-HK approaches. In addition, the estimated density-driven contribution to the error for the ML-HK approach (Eq. (9)) is given. Energies are given in kcal/mol, bond-lengths in pm, and angles in degrees