Journal of Big Data

Table 2 Performance of machine learning models on the 17 SDGs

From: Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation

SDGs (Y)	Multiple linear regression			Artificial neural network
SDGs (Y)	MSE	\({R^{2}}\)	Epochs	MSE	\({R^{2}}\)	Epochs
SDG1	1.12067e+07	0.985611	10	0.21056e+09	0.994	100
SDG2	3.01021e+06	0.99459	10	2.33940e+06	0.990334	100
SDG3	3.68953e+08	0.99698	10	2.22087e+08	0.998938	100
SDG4	671584	0.997372	10	0.33027e+05	0.999321	100
SDG5	1.94250e+06	0.980005	10	1.78067e+07	0.9902	100
SDG6	5.8932e+06	0.990303	10	3.98393e+06	0.9987	100
SDG7	2.209393e+07	0.704473	10	1.03928e+08	0.765021	100
SDG8	7.890493e+05	0.92933	10	5.435305e+04	0.90392	100
SDG9	2.89754e+07	0.988229	10	1.45303e+06	0.993241	100
SDG10	1.20943e+09	0.97775	10	1.02343e+08	0.985712	100
SDG11	3029.33	0.969286	10	1.29403e+02	0.97789	100
SDG12	10431.3	0.547476	10	934.55	0.609831	100
SDG13	95848	0.950487	10	10394.5	0.975493	100
SDG14	394.67	0.982938	10	123.43	0.995283	100
SDG15	39283.32	0.97327	10	29182.9	0.985283	100
SDG16	428399	0.962839	10	293839	0.9709	100
SDG17	2.249403e+06	0.959283	10	1.19393e+05	0.9638294	100

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