Table 1 Summary of the mean, minimum and maximum values of accuracy for 1000 drawings of data for the learning and test vector for various classifiers
From: Machine learning and medicine: book review and commentary
Type of classifier | Min (ACC) | Mean (ACC) | Max (ACC) |
|---|---|---|---|
Support vector machine (SVM) | 60 | 73.0 | 84 |
Pruned decision tree | 53 | 67.6 | 79 |
Naive Bayes classifier | 62 | 74.7 | 86 |