Research Article
Recognition of Handwritten Medical Prescription Using Signature Verification Techniques
Table 8
Accuracy obtained by comparing SVM, Naive Bayes, decision tree, and gradient boosted on testing data acquired from user 1 and user 2.
| Users | SVM Acc | NB-Acc | DT-Acc | GB-Acc |
| User 1 | 84% | 57 | 59 | 56 | User 2 | 78 | 48 | 62 | 61 | User 3 | 77.47 | 40.85 | 55 | 60.56 | User 4 | 77.31 | 42 | 77.31 | 75.63 | User 5 | 74.17 | 25.83 | 78.33 | 80 | User 6 | 60 | 47.85 | 73.6 | 75 | User 7 | 38.5 | 34.22 | 65.24 | 76 | User 8 | 68 | 54.64 | 64 | 69 | User 9 | 61.61 | 69.86 | 53.43 | 71.23 |
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