Research of Financial Early-Warning Model on Evolutionary Support Vector Machines Based on Genetic Algorithms

Table 1

The training set.

	Variables
Companies	Sell profit rate	Assets earning ratio	Net asset earning ratio	Profit growth rate of main business	Net profit growth rate	Total profit growth rate	𝑁+1 year’s ROE	Output
Chenming Paper	0.09132	0.03615	0.0415	−0.3056983	−0.429	−0.3424	0.1077	1
Foshan electrical and lighting	0.24647	0.09228	0.0909	0.29356763	0.0757	0.109821	0.1044	1
Huali Group	0.30593	0.13124	0.1806	−0.1730657	−0.148	−0.11433	0.1561	1
GreeElectric appliances	0.04546	0.04738	0.1568	−0.1580513	0.0949	0.100019	0.1617	1
Zhuhai Zhongfu	0.19179	0.05514	0.0661	−0.2462878	−0.086	−0.11713	0.1011	1
Zijiang enterprise	0.26843	0.10353	0.1346	0.46888081	0.3058	0.320772	0.1621	1
Qingdao Haier	0.23414	0.14571	0.1253	0.12413238	0.5833	0.546907	0.078	1
Fujian Nanzhi	0.12411	0.05107	0.0734	0.13528976	0.1961	0.050202	0.0619	1
ST Swan	0.03803	0.02276	0.0012	−0.7855768	−0.987	−0.69645	−0.326	−1
ST Macro	0.08378	0.01404	0.2073	−0.0473601	−0.85	−0.89666	−3.943	−1
ST Tianyi	0.05505	0.01348	0.0096	−0.2675278	−0.865	−0.83182	−0.281	−1
ST Jizhi	0.08603	0.01643	0.005	−0.3048749	−0.575	−0.73226	−0.24	−1
ST Hushan	0.16272	0.04433	0.0503	0.09753527	−0.799	−0.81446	−0.256	−1
ST Jiangzhi	0.30537	0.09123	0.0813	0.41089893	0.1747	0.220284	−0.86	−1
ST Ziyi	0.10243	0.03277	0.0014	−0.1932007	−0.986	−0.96686	−0.32	−1
Xiaxin electronic	0.04935	0.05256	0.0552	−0.428435	−0.765	−0.78969	−0.335	−1
Chunlan Gufen	0.21223	0.09518	0.0787	−0.3200746	−0.121	−0.11254	0.0405	1
Shangfeng Industrial	0.44223	0.101126	0.0598.	−0.5987261	−0.281	−0.30444	0.0327	1
Aucma	0.10466	0.03811	0.0363	0.3780161	0.6449	0.720158	0.0286	1
Xinjiang Tianhong	0.10348	0.04947	0.0451	−0.0591081	−0.155	−0.25771	0.0406	1
Jincheng Paper	0.1038	0.03736	0.051	−0.4548067	−0.406	−0.48903	0.0145	1
Wuzhong Yibiao	0.33955	0.06541	0.0631	0.26631751	0.046	0.007402	0.0125	1
Qingshan Paper	0.24708	0.06499	0.071	−0.0290705	−0.137	−0.13544	0.0088	1
Hakongtiao	0.29178	0.12776	0.1819	0.20166437	0.9176	0.578143	0.0104	1