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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