Logistic Regression
- In this project I utilised Logistic Regression in order to create a model that predicts handwritten digits from images.
The dimensions of the images used in this project were 40x40 pixels and images contain digits from 0 to 9. A small sample of this dataset is illustrated below.
Since there are 10 different digits, a multi-class classifier must be trained. That means that 10 different logistic regression models have to be trained. This method is often called One-vs-All classification.
As you can see in Figure 2, the training accuracy of this technique was 95.02%, by making predictions with the generated classifiers.
A more detailed description of this project’s implentation in Matlab can be seen in this github repository: Link to Github repository