Feedforward neural network that classifies cancer as benign or malignant based on 30 features computed from a digitized image of a fine needle aspirate of a breast mass.
Achieved ~97.5% accuracy after 1000 epochs.
Dataset is included in repo, for more information here: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
Currently working on implementing F1-Score to more accurately reflect the models capabilities.