The Network Optimization

Hooray!! We finally got reasonable results from evaluating the PyTorch Feedforward Neural Network.

Classifiers	F1 Score	Accuracy Score	Precision Score	Recall Score	ROC AUC Score
Random Guessing	0.437825	0.500549	0.389329	0.500129	0.500473
Logistic Regression	0.931898	0.948762	0.964399	0.901518	0.940170
Neural Network	0.941330	0.955052	0.955112	0.928378	0.950201
Random Forest	0.995107	0.996177	0.990894	0.999355	0.996755
Gaussian Naive Bayes	0.862626	0.893530	0.865489	0.860305	0.887457

This is really good for us.

We finished up by adjusting hyperparameters.

Documentation and the final presentation were also touched up and results were added in.