Influence of various binary classifiers on image recognition using ML.pdf (1.34 MB)
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Influence of various ML-Based Binary Classifiers on the Performance on handwritten digit recognition

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posted on 2023-05-22, 19:14 authored by Muhammad Farhan ShahidMuhammad Farhan Shahid

This paper aims to produce comparison among four competing Machine Learning classifiers including a boosting algorithm when fitted on MNIST dataset to predict 0-Image. Accuracy (ACC) of Support Vector Machine (SVM), Stochastic Gradient Descent (SGD), AdaBoost and Random Forest models are evaluated through 3-fold and 10-fold Cross Validation. Further, performance is measured through precision (PREC), F1-score (F1), recall (REC), PR Curve and ROC.  


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  • Pakistan