Isiaka Akinkunmi Adeyemo

Performance Comparison of Support Vector Machine and Decision Trees for the Classification of Handwritten Digits

Evaluated and compares the performance of Support Vector Machine and Decision Tree classifiers for handwritten digit recognition using the Modified National Institute of Standards and Technology (MNIST) dataset and indicates that SVM provides superior classification performance for handwritten digit recognition, while Decision Tree offers faster implementation and greater interpretability.