Table 2.

Accuracy values for all 10 countries using 9 ML algorithms

	ARIMA	ARMA	BRR	HW	LRP	LR	RFR	SVR	XGB
India	90.55 ± 1.46	99.26 ± 0.42	92.94 ± 5.78	89.45 ± 4.54	98.06 ± 2.21	62.75 ± 4.67	85.91 ± 3.41	92.16 ± 6.16	89.42 ± 8.9
Bangladesh	78.87 ± 2.33	78.82 ± 2.30	76.74 ± 0.50	81.59 ± 1.42	86.45 ± 3.18	81.36 ± 1.91	78.4 ± 0.14	57.16 ± 6.45	76.49 ± 7.9
Ethiopia	95.62 ± 0.53	99.93 ± 0.07	85.53 ± 1.12	94.94 ± 5.06	89.17 ± 3.53	92.74 ± 1.48	58.48 ± 2.6	97.59 ± 2.40	84.16 ± 4.6
Indonesia	97.72 ± 1.87	54.98 ± 1.53	88.38 ± 4.11	95.93 ± 1.55	96.26 ± 1.83	85.73 ± 1.10	88.44 ± 8.5	87.72 ± 3.57	81.17 ± 10.51
Nigeria	84.36 ± 0.35	98.06 ± 7.76	81.71 ± 0.55	95.17 ± 2.34	84.01 ± 1.63	85.27 ± 1.71	82.04 ± 8.2	59.35 ± 6.24	85.56 ± 8.1
Pakistan	78.16 ± 1.16	80.67 ± 3.19	87.91 ± 0.67	82.32 ± 5.32	64.78 ± 2.60	63.02 ± 2.26	75.35 ± 5.6	59.80 ± 0.86	76.25 ± 7.7
Democratic Republic of Congo	80.83 ± 0.67	80.08 ± 8.86	89.57 ± 5.82	73.07 ± 11.13	91.96 ± 5.22	61.38 ± 2.26	81.64 ± 8.1	58.37 ± 8.44	71.31 ± 7
Germany	85.39 ± 4.38	85.38 ± 7.46	19.85 ± 7.18	73.56 ± 7.93	74.24 ± 3.83	28.17 ± 18.64	72.11 ± 3.6	74.41 ± 1.97	74.77 ± 3.5
China	77.89 ± 7.29	73.45 ± 16.89	70.44 ± 8.93	80.10 ± 15.51	49.87 ± 0.092	14.94 ± 5.80	72.86 ± 3.5	22.97 ± 3.16	82 ± 8
Philippines	43.98 ± 1.48	43.89 ± 3.53	46.68 ± 0.86	40.04 ± 2.38	44.36 ± 0.09	36.51 ± 0.38	27.36 ± 2.7	50.54 ± 1.38	16.21 ± 1.6

The values in bold indicates highest prediction accuracy for earch country (row) and corrosponding column indicates with what algorithm