Scientific Reports

Table 1 Comparison of performance metrics values for size, 1S abs, and PL using all ML methods.

From: Machine learning models for accurately predicting properties of CsPbCl₃ Perovskite quantum dots

	Model	Train data			Test data
	Model	\(\text {R}^2\)	RMSE	MAE	\(\text {R}^2\)	RMSE	MAE
Size	SVR	0.99	0.009	0.009	0.80	0.34	0.16
	NND	0.99	0.012	0.008	0.62	0.47	0.30
	DL	0.77	0.49	0.38	0.10	0.74	0.56
	DT	0.94	0.23	0.17	0.94	0.23	0.16
	RF	0.93	0.26	0.20	0.51	0.66	0.54
	GBM	0.97	0.14	0.13	0.48	0.56	0.38
1 S abs	SVR	0.99	0.009	0.008	0.84	0.34	0.19
	NND	0.99	0.009	0.005	0.55	0.59	0.34
	DL	0.66	0.59	0.39	0.44	0.66	0.49
	DT	0.96	0.19	0.13	0.96	0.19	0.13
	RF	0.94	0.23	0.17	0.64	0.53	0.37
	GBM	0.98	0.11	0.09	0.66	0.51	0.30
PL	SVR	0.99	0.009	0.009	0.66	0.58	0.28
	NND	0.99	0.005	0.002	0.78	0.46	0.29
	DL	0.73	0.51	0.38	0.53	0.68	0.56
	DT	0.97	0.16	0.11	0.97	0.16	0.11
	RF	0.94	0.23	0.16	0.70	0.54	0.39
	GBM	0.99	0.09	0.07	0.71	0.53	0.34

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