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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

Presentation

Link