Github Link
- Private url
Presentation Link
Overview
This was Michael Bertagna and my final project for our introduction to machine learning class. We designed a convolutional neural network (CNN) that takes in images of cell types, and attempts to classify them. We were able to achieve significant improvements compared to the KNN baseline used.
Results
KNN Baseline Results
precision recall f1-score support
accuracy 0.27 259
macro avg 0.14 0.15 0.14 259
weighted avg 0.24 0.27 0.23 259
CNN Results
precision recall f1-score support
accuracy 0.71 5143
macro avg 0.66 0.54 0.55 5143
weighted avg 0.71 0.71 0.70 5143