Research Article
Applying Deep Learning Technologies to Evaluate the Patent Quality with the Collaborative Training
Table 13
Classification results of PQE_MT_CHN_Co and other benchmark models.
| Model | Train | Test | Precision | Recall | | Precision | Recall | |
| SVM_Ch | 0.70 | 0.69 | 0.69 | 0.64 | 0.63 | 0.63 | SVM_En | 0.66 | 0.61 | 0.63 | 0.60 | 0.57 | 0.58 | SVM_Ch + En | 0.75 | 0.67 | 0.71 | 0.62 | 0.60 | 0.61 | SVM_Co | 0.75 | 0.70 | 0.72 | 0.68 | 0.67 | 0.67 | PQE_MT_CHN_Ch | 0.73 | 0.71 | 0.72 | 0.62 | 0.61 | 0.61 | PQE_MT_CHN_En | 0.79 | 0.80 | 0.79 | 0.74 | 0.74 | 0.74 | PQE_MT_CHN_ Ch + En | 0.81 | 0.79 | 0.80 | 0.67 | 0.66 | 0.66 | PQE_MT_CHN_Co | 0.84 | 0.82 | 0.83 | 0.78 | 0.77 | 0.77 |
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