Research Article
Applying Deep Learning Technologies to Evaluate the Patent Quality with the Collaborative Training
Table 7
Results of training the network using only Chinese patent data.
| Category | Training set | Test set | Precision | Recall | -score | Support | Precision | Recall | -score | Support |
| 1 | 0.92 | 1.00 | 0.96 | 61 | 0.55 | 0.66 | 0.60 | 35 | 2 | 0.79 | 0.70 | 0.74 | 33 | 0.41 | 0.39 | 0.40 | 18 | 3 | 0.80 | 0.82 | 0.81 | 49 | 0.18 | 0.19 | 0.19 | 21 | 4 | 0.61 | 0.69 | 0.65 | 29 | 0.30 | 0.30 | 0.30 | 10 | 5 | 0.42 | 0.65 | 0.51 | 17 | 0.33 | 0.38 | 0.35 | 8 | 6 | 1.00 | 0.80 | 0.89 | 5 | 0.00 | 0.00 | 0.00 | 3 | 7 | 0.00 | 0.00 | 0.00 | 9 | 0.00 | 0.00 | 0.00 | 3 | 8 | 0.00 | 0.00 | 0.00 | 5 | 0.00 | 0.00 | 0.00 | 2 | Microavg | 0.76 | 0.76 | 0.76 | 208 | 0.40 | 0.40 | 0.40 | 100 | Macroavg | 0.57 | 0.58 | 0.57 | 208 | 0.22 | 0.24 | 0.23 | 100 |
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