Table III:
Number of Topics | Dimension Reduction | Decision Tree | SVM | ||||
---|---|---|---|---|---|---|---|
Precision | Recall | F-score | Precision | Recall | F-score | ||
2 | 0.999 | 0.766 | 0.875 | 0.817 | 0.766 | 0.875 | 0.817 |
3 | 0.998 | 0.901 | 0.908 | 0.903 | 0.905 | 0.912 | 0.907 |
5 | 0.997 | 0.93 | 0.93 | 0.93 | 0.935 | 0.936 | 0.935 |
10 | 0.995 | 0.941 | 0.943 | 0.942 | 0.954 | 0.955 | 0.954 |
15 | 0.992 | 0.953 | 0.954 | 0.953 | 0.957 | 0.958 | 0.957 |
20 | 0.989 | 0.952 | 0.951 | 0.952 | 0.961 | 0.962 | 0.962 |
25 | 0.987 | 0.948 | 0.948 | 0.948 | 0.959 | 0.96 | 0.96 |
30 | 0.984 | 0.953 | 0.954 | 0.954 | 0.964 | 0.965 | 0.965 |
50 | 0.973 | 0.943 | 0.942 | 0.943 | 0.962 | 0.963 | 0.962 |
100 | 0.946 | 0.941 | 0.941 | 0.941 | 0.968 | 0.968 | 0.968 |
150 | 0.919 | 0.945 | 0.946 | 0.94 | 0.968 | 0.969 | 0.968 |
200 | 0.892 | 0.942 | 0.943 | 0.943 | 0.967 | 0.968 | 0.967 |
250 | 0.865 | 0.939 | 0.938 | 0.938 | 0.965 | 0.966 | 0.966 |
300 | 0.838 | 0.94 | 0.94 | 0.94 | 0.962 | 0.962 | 0.962 |
400 | 0.784 | 0.938 | 0.938 | 0.938 | 0.961 | 0.961 | 0.961 |
500 | 0.73 | 0.935 | 0.935 | 0.935 | 0.961 | 0.962 | 0.962 |