Читать книгу Biomedical Data Mining for Information Retrieval - Группа авторов - Страница 23
1.4 Result and Discussion
ОглавлениеThe results of all the models on testing set containing 1,000 records are shown in the Table 1.3.
As exhibited from the above table DT has outperformed the other five models with an accuracy of 97.95%. FA-FLANN model has secured the 2nd rank with an accuracy of 87.6%. DA, KNN and SVM models are giving almost same results with accuracy of 86.05%, 86.6% and 86.15% respectively. The worst result is reported for the Naïve Bayesian based model with an accuracy of 54.80%.
Table 1.3 Comparison of different models during testing.
| S. no. | Model name | Error during testing | Accuracy | Rank | |
|---|---|---|---|---|---|
| Value | (%) | ||||
| 1. | FA-FLANN | 0.1240 | 12.40% | 87.60% | 2 |
| 2. | DA | 0.1395 | 13.95% | 86.05% | 5 |
| 3. | DT | 0.0205 | 2.05% | 97.95% | 1 |
| 4. | KNN | 0.1340 | 13.4% | 86.6% | 4 |
| 5. | Naive Bayesian | 0.4520 | 45.20% | 54.80% | 6 |
| 6. | SVM | 0.1385 | 13.85% | 86.15% | 3 |
