International Journal of Scientific and Research Publications

IJSRP, Volume 8, Issue 6, June 2018 Edition [ISSN 2250-3153]

Digit Recognition using Machine Learning
      Andy W. Chen
Abstract: In this paper, I build automated machine learning models to recognize and predict handwritten digits. The models are supervised learning models used to predict every possible pair of digits. I evaluate the models by comparing the training and testing accuracies to explore the pairs that are most and least difficult to distinguish. I find that the pair 0 and 1 has the highest accuracy and the pair 3 and 5 has the lowest accuracy.

Reference this Research Paper (copy & paste below code):

Andy W. Chen (2018); Digit Recognition using Machine Learning; Int J Sci Res Publ 8(6) (ISSN: 2250-3153).
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