Table 6 The actual and predicted values of Rsh for different prepared SDs.

From: Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO3 nanostructures doped in PVP interfacial layer

SD

Rsh(kΩ)

Actual

GPR

KRR

SVR

ANN

MS

3.8922

3.8844

3.8768

3.8910

3.7781

MPS1

173.82

173.58

173.59

173.78

160.51

MPS2

305.19

304.19

304.12

305.03

314.10

MPS3

495.28

494.93

494.61

495.22

489.62

MPS4

345.09

343.86

343.89

344.97

335.27

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