Ultimately, we employed decision trees, logistic regression, and random forests to reach our objective. Of these, random forest yielded the highest accuracy of 96%, making them useful for obtaining ...

Logistic regression is a machine learning technique for binary classification ... regression model using raw Python, rather than by using a machine learning code library such as Microsoft ML.NET or ...

As mentioned earlier as this article emphasizes using Logistic Regression for Image classification we are using the Hand Sign Digit Classification dataset with two categories of images showing Hand ...