Table 3 Comparison of usage frequency and accuracy of different supervised machine learning algorithms
From: Comparing different supervised machine learning algorithms for disease prediction
Supervised machine learning algorithms | Number of published articles used this algorithm | Number of times this algorithm showed superior accuracy (%) |
|---|---|---|
Artificial neural network (ANN) | 20 | 6 (30%) |
Decision tree (DT) | 21 | 7 (33%) |
K-nearest neighbour (KNN) | 13 | 4 (31%) |
Logistic regression (LR) | 20 | 5 (25%) |
Naïve Bayes (NB) | 23 | 7 (30%) |
Random forest (RF) | 17 | 9 (53%) |
Support vector machine (SVM) | 29 | 13 (41%) |