The python notebook in this repository is used to classify various images to determine if they are considered to be an image of a synapse or not. Ultimately, this algorithm used a random forest decision tree to classify these images. By defining various characteristics of the images and using these features as inputs to the random forest classifer, my approach reached 92% accuracy in classifying these images.
tonywu1999/Synchallenge
Used machine learning to determine whether a selected image would be classified as a synapse or not
Jupyter NotebookApache-2.0