Model Mayhem
Will has access to a simple dataset with only one numerical feature and a target value.
He wants to build a couple of models to predict the target value using his dataset. He will try two different functions:
- Model A:
y = mx + b
- Model B:
y = x² + mx + b
Will split his dataset in two: 80% for training both models and 20% for testing them.
Which model will get the best results on Will's testing set?