From: Research on human performance evaluation model based on neural network and data mining algorithm
Statistical characteristics | Quantity | Effective percentage | Cumulative percentage | |
---|---|---|---|---|
Career | Administration | 123 | 42.76 | 48.45 |
Technology | 43 | 14.87 | 61.56 | |
Rear services | 57 | 38.75 | 53.23 | |
Working time | Less 1 year | 86 | 29.44 | 26.22 |
1–3 years | 83 | 41.53 | 65.34 | |
More than 3 years | 55 | 30.54 | 42.21 | |
Sex | Male | 123 | 71.31 | 71.21 |
Female | 55 | 28.54 | 32.21 | |
Educational background | College and below | 32 | 19.65 | 19.23 |
Undergraduate course | 82 | 70.92 | 70.43 | |
Master’s degree or above | 43 | 18.21 | 43.33 | |
Age | Under 30 | 54 | 72.24 | 72.45 |
30–40 | 43 | 23.35 | 92.45 | |
Over 40 years of age | 58 | 4.65 | 54.33 |