Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
which occurs when the model becomes highly proficient at representing the training data but performs poorly on unseen samples. To guard against overfitting, we can assess loss and accuracy over a test/validation dataset that is distinct from the training data. By plotting graphs for accuracy and