Write a neural network in python for multiclass classification
of an imbalanced dataset that makes a successful model that both
trains and evaluates the model and prints the Accuracy, Precision,
Recall, and F1 score. Data will be in the form of a CSV file with
600,000 samples (or rows in the CSV) of 15 classes (for y_train and
y_test) and 78 input dimensions/features. The imbalance will have
some classes that have a low of only 8 samples taken. Your job...