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 | 10 | 2 | 2 | 0 | 0 | 0 | 0 | 14 | |
1 | 11 | 24 | 12 | 6 | 3 | 1 | 0 | 57 | ||
2 | 4 | 13 | 33 | 6 | 9 | 0 | 0 | 65 | ||
3 | 3 | 7 | 16 | 14 | 5 | 1 | 0 | 46 | ||
4 | 0 | 4 | 12 | 11 | 8 | 1 | 0 | 36 | ||
5 | 0 | 1 | 0 | 1 | 5 | 1 | 0 | 8 | ||
6 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 3 | ||
Total | 28 | 51 | 75 | 38 | 32 | 5 | 0 | 229 | ||
Number of coincidences | 100 | 43.67 | ||||||||
Number of close values | 83 | 36.24 |