Research Article
Discovery of Knowledge in the Incidence of a Type of Lung Cancer for Patients through Data Mining Models
Table 1
Comparative analysis of other information about the various created models.
| ā | Logistic regression algorithm | Naive Bayes algorithm | K star | Bagging algorithm | OneR algorithm | ZeroR algorithm | J48 algorithm | Random tree | . Naive Bayes |
| Correctly classified instances | 88.86% | 89.86% | 88.87% | 90.84% | 86.87% | 79.90% | 88.20% | 89.01% | 89.01% | Kappa statistics | 0.64 | 0.69 | 0.63 | 0.7 | 0.6 | 0 | 0.64 | 0.68 | 0.68 | Mean absolute error | 0.16 | 0.11 | 0.156 | 0.153 | 0.14 | 0.31 | 0.13 | 0.1 | 0.1 | Root mean squared error | 0.3 | 0.3 | 0.288 | 0.28 | 0.4 | 0.401 | 0.34 | 0.33 | 0.33 | Relative absolute error | 49.30% | 33.70% | 49.30% | 47.68% | 40.79% | 100.00% | 38.40% | 33.10% | 33.10% | Root relative squares error | 72.03% | 70.00% | 72.03% | 67.54% | 90.46% | 100.00% | 84.00% | 82.00% | 82.00% | Total number of Instances in all algorithms: 404 |
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