Research Article
Application of an Improved CHI Feature Selection Algorithm
Table 5
Comparison of classification results between CHI and Var-CV-CHI on the unbalanced Chinese corpus (KNN).
| Category | CHI | Var-CV-CHI | Precision | Recall | F1-score | Precision | Recall | F1-score |
| Culture | 0.97 | 0.90 | 0.93 | 0.93 | 0.92 | 0.92 | Education | 0.93 | 0.82 | 0.87 | 0.93 | 0.87 | 0.90 | Entertainment | 0.92 | 0.91 | 0.91 | 0.91 | 0.93 | 0.92 | Event | 0.79 | 0.80 | 0.80 | 0.79 | 0.80 | 0.80 | Finance | 0.86 | 0.84 | 0.85 | 0.88 | 0.88 | 0.88 | Game | 0.97 | 0.97 | 0.97 | 0.97 | 0.98 | 0.97 | Health | 0.51 | 0.92 | 0.66 | 1.00 | 0.68 | 0.81 | Occultism | 0.64 | 1.00 | 0.78 | 0.47 | 1.00 | 0.64 | Sport | 0.97 | 0.86 | 0.91 | 0.96 | 0.84 | 0.90 | Technology | 0.93 | 0.79 | 0.86 | 0.94 | 0.87 | 0.91 | Macro-avg-P | 0.85 | 0.88 | Macro-avg-R | 0.88 | 0.88 | Macro-avg-F1 | 0.85 | 0.87 |
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