fig3
From: Machine learning accelerated discovery of high transmittance in (K0.5Na0.5)NbO3-based ceramics
![Machine learning accelerated discovery of high transmittance in (K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>-based ceramics](https://image.oaes.cc/9b40282b-ed44-4f24-b580-62d5130388f8/5817.fig.3.jpg)
Figure 3. The predicting T% of (K0.5Na0.5)xRyMzNbO3 components based on the best ETR model. (A) R = Sm, ST = 1,175 ºC ; (B) R = Pr, ST = 1,175 °C; (C) R = Tb, ST = 1,175 °C; (D) R = Sm, ST = 1,180 °C; (E) R = Pr, ST = 1,180 °C; (F) R = Tb, ST = 1,180 °C. ETR: extreme tree regression; ST: sintering temperature; T%: transmittance.