Case context: Your team has aggregated and cleaned a massive dataset for a new classification task. The final dataset contains exactly one million labeled training examples.

Question: Based on the guidance from Machine Learning Yearning, what type of model should you decide to favor for this project, and how does the dataset size influence this decision?

Sample answer: You should favor a neural network. Machine Learning Yearning explicitly states that with 1 million examples, a neural network is favored because large neural networks benefit significantly from huge amounts of data.

Key points:

• Recommend using a neural network.
• Identify that 1 million examples is the threshold mentioned to favor this model.
• Note that neural networks benefit from huge data.

Rubric: The answer must recommend a neural network and justify the decision by citing the dataset size of one million examples.