From: Practical use of a latent semantic analysis (LSA) model for automatic evaluation of written answers
Human | Total | Percent (%) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
0 | 1 | 2 | 3 | 4 | 5 | 6 | ||||
LSA | 0 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | |
1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | ||
2 | 3 | 1 | 0 | 2 | 1 | 0 | 0 | 7 | ||
3 | 3 | 0 | 1 | 4 | 2 | 2 | 3 | 15 | ||
4 | 0 | 0 | 0 | 2 | 7 | 4 | 6 | 19 | ||
5 | 2 | 0 | 0 | 0 | 2 | 5 | 4 | 13 | ||
6 | 3 | 1 | 1 | 0 | 12 | 16 | 35 | 68 | ||
Total | 16 | 4 | 2 | 8 | 24 | 28 | 48 | 130 | ||
Number of coincidences | 55 | 42.31 | ||||||||
Number of close values | 38 | 29.23 |