Table 14 Comparison of the performance of the four data mining algorithms on KNIME platform
From: Data mining approach for predicting the daily Internet data traffic of a smart university
Tree Ensemble | Decision Tree | Random Forest | Naïve Bayes | |
|---|---|---|---|---|
Internet download traffic | ||||
Correct classified | 66 | 59 | 64 | 63 |
Accuracy | 62.264% | 55.66% | 60.377% | 59.434% |
Cohen’s Kappa (k) | 0.492 | 0.403 | 0.465 | 0.454 |
Wrong classified | 40 | 47 | 42 | 43 |
Error | 37.736% | 44.34% | 39.623% | 40.566% |
Internet upload traffic | ||||
Correct classified | 66 | 59 | 67 | 66 |
Accuracy | 62.264% | 55.66% | 63.208% | 62.264% |
Cohen’s Kappa (k) | 0.492 | 0.409 | 0.51 | 0.497 |
Wrong classified | 40 | 47 | 39 | 40 |
Error | 37.736% | 44.34% | 36.792% | 37.736% |