Research Article

A Random Forest Method for Identifying the Effectiveness of Innovation Factor Allocation

Table 4

Important innovation factor inputs grouping.

 (a)(b)(c)(d)(e)(f)(g)(h)

Beijing201243332343
201843332333

Tianjin201232333333
201833332333

Hebei201232232323
201833322333

Shanxi201232232322
201821232312

Inner Mongolia201232232322
201811212212

Liaoning201232333333
201833332332

Jilin201232232333
201822222233

Heilongjiang201232232322
201821212212

Shanghai201233444333
201843443333

Jiangsu201244444444
201844444334

Zhejiang201234334433
201843333333

Anhui201232232323
201833332333

Fujian201232333333
201843332333

Jiangxi201232232322
201833332313

Shandong201234333334
201843332333

Henan201232232323
201833332333

Hubei201232232333
201843332333

Hunan201232232333
201833332333

Guangdong201244444444
201844444444

Guangxi201232232322
201822232212

Hainan201232232322
201811222121

Chongqing201232232333
201833332333

Sichuan201232232333
201843332333

Guizhou201232232322
201813222212

Yunnan201232232322
201821222212

Shaanxi201232232332
201843232332

Gansu201232232322
201811212112

Qinghai201211111111
201811111111

Ningxia201231232322
201811212112

Xinjiang201232232322
201811212112

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.