Mnist, Logistic Regression, Support Vector Machine, Computer Vision, Image Classification.
images and the target values. After that, the predictions are obtained by using the fitted model and test split of the images. Finally, the accuracy of the predicted values are calculated as 99% comparing the predictions with the actual values. Figure 7: The Support Vector Machine Classifier Model