A Random Forest Method for Identifying the Effectiveness of Innovation Factor Allocation
Table 4
Important innovation factor inputs grouping.
ā
(a)
(b)
(c)
(d)
(e)
(f)
(g)
(h)
Beijing
2012
4
3
3
3
2
3
4
3
2018
4
3
3
3
2
3
3
3
Tianjin
2012
3
2
3
3
3
3
3
3
2018
3
3
3
3
2
3
3
3
Hebei
2012
3
2
2
3
2
3
2
3
2018
3
3
3
2
2
3
3
3
Shanxi
2012
3
2
2
3
2
3
2
2
2018
2
1
2
3
2
3
1
2
Inner Mongolia
2012
3
2
2
3
2
3
2
2
2018
1
1
2
1
2
2
1
2
Liaoning
2012
3
2
3
3
3
3
3
3
2018
3
3
3
3
2
3
3
2
Jilin
2012
3
2
2
3
2
3
3
3
2018
2
2
2
2
2
2
3
3
Heilongjiang
2012
3
2
2
3
2
3
2
2
2018
2
1
2
1
2
2
1
2
Shanghai
2012
3
3
4
4
4
3
3
3
2018
4
3
4
4
3
3
3
3
Jiangsu
2012
4
4
4
4
4
4
4
4
2018
4
4
4
4
4
3
3
4
Zhejiang
2012
3
4
3
3
4
4
3
3
2018
4
3
3
3
3
3
3
3
Anhui
2012
3
2
2
3
2
3
2
3
2018
3
3
3
3
2
3
3
3
Fujian
2012
3
2
3
3
3
3
3
3
2018
4
3
3
3
2
3
3
3
Jiangxi
2012
3
2
2
3
2
3
2
2
2018
3
3
3
3
2
3
1
3
Shandong
2012
3
4
3
3
3
3
3
4
2018
4
3
3
3
2
3
3
3
Henan
2012
3
2
2
3
2
3
2
3
2018
3
3
3
3
2
3
3
3
Hubei
2012
3
2
2
3
2
3
3
3
2018
4
3
3
3
2
3
3
3
Hunan
2012
3
2
2
3
2
3
3
3
2018
3
3
3
3
2
3
3
3
Guangdong
2012
4
4
4
4
4
4
4
4
2018
4
4
4
4
4
4
4
4
Guangxi
2012
3
2
2
3
2
3
2
2
2018
2
2
2
3
2
2
1
2
Hainan
2012
3
2
2
3
2
3
2
2
2018
1
1
2
2
2
1
2
1
Chongqing
2012
3
2
2
3
2
3
3
3
2018
3
3
3
3
2
3
3
3
Sichuan
2012
3
2
2
3
2
3
3
3
2018
4
3
3
3
2
3
3
3
Guizhou
2012
3
2
2
3
2
3
2
2
2018
1
3
2
2
2
2
1
2
Yunnan
2012
3
2
2
3
2
3
2
2
2018
2
1
2
2
2
2
1
2
Shaanxi
2012
3
2
2
3
2
3
3
2
2018
4
3
2
3
2
3
3
2
Gansu
2012
3
2
2
3
2
3
2
2
2018
1
1
2
1
2
1
1
2
Qinghai
2012
1
1
1
1
1
1
1
1
2018
1
1
1
1
1
1
1
1
Ningxia
2012
3
1
2
3
2
3
2
2
2018
1
1
2
1
2
1
1
2
Xinjiang
2012
3
2
2
3
2
3
2
2
2018
1
1
2
1
2
1
1
2
Note: the input of important innovation factors is divided into group 1 before the first turning point, into group 2 between the first turning point and the maximum slope point, into group 3 between the maximum slope point and the second turning point, and into group 4 after the second turning point.