A Machine Learning Approach to Predict Air Quality in California

Table 3

Dataset descriptive statistics.

	CO	NO2	SO2	Ozone	PM2.5	Wind speed	Temperature	Relative humidity
Mean	0.29	12.00	1.07	0.03	7.71	95.52	55.93	55.79
Std	0.16	7.10	2.31	0.01	4.93	26.96	18.53	21.57
Min	0.05	0.28	−0.57	0.00	−2.78	2.20	−11.58	2.89
25%	0.19	6.68	0.35	0.02	4.60	76.14	42.67	39.45
50%	0.25	10.25	0.55	0.03	6.81	96.45	56.65	57.75
75%	0.33	15.83	0.92	0.04	9.70	114.18	69.70	73.00
Max	2.14	55.58	158.37	0.08	240.06	301.25	109.21	97.75
Kurtosis	7.29	1.22	330.72	−0.283	192.49	1.05	−0.45	−0.85
Skew	2.15	1.13	11.61	0.38	6.76	0.17	−0.16	−0.25