Aysar Aysar Thamer Naser Tuaimah1

Comparative Evaluation of Machine Learning Techniques for Handwritten Digit Classification Using the MNIST Dataset

A comparative analysis of a number of machine learning and deep learning algorithms and models, namely Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, SVM and Convolutional Neural Networks using the MNIST dataset proves that conventional machine learning models, especially SVM and Random Forest, perform competitively.