Table 4 Accuracy of eight classifiers for different disease.
Dataset | K-nearest Neighbors (KNN) | Random forest (RF) | Support vector machine (SVM) | Bernoulli Naive Bayes (BNB) | Decision tree (DT) | XGBoost (XGB) | AdaBoost (ADB) | Stochastic gradient descent (SGD) |
|---|---|---|---|---|---|---|---|---|
Cancer | 70.46% | 88.16% | 63.42% | 78.09% | 88.16% | 92.57% | 89.39% | 79.85% |
Parkinson | 72.46% | 83.06% | 80.22% | 71.67% | 86.55% | 92.56% | 91.45% | 80.06% |
Heart attack | 81.31% | 79.12% | 83.51% | 87.91% | 75.82% | 83.51% | 72.52% | 80.21% |
Alzheimer | 73.02% | 90.04% | 88.12% | 74.46% | 94.48% | 96.16% | 95.44% | 83.33% |
