Research Article
Prediction of Purchase Intention of High and Middle Potential Users in Luxury Hotels Based on Data Mining
Table 3
Comparison of model prediction effects before and after adding consumer portrait features.
| Characteristic dimension | Training time | Test set time | Accuracy rate | Recall rate | F1 |
| 646 dimensions | 11.30–11.50 | 11.50–11.55 | 0.249855 | 0.224757 | 0.26946 | 858 dimensions | 11.30–11.50 | 11.50–11.55 | 0.245566 | 0.223445 | 0.23465 | 40 dimensions | 11.30–11.50 | 11.50–11.55 | 0.645851 | 0.248766 | 0.28418 | 212 dimensions | 11.30–11.50 | 11.50–11.55 | 0.285455 | 0.248551 | 0.127433 |
|
|