You have two datasets: one with 10,000 instances and one with 100,000. How would the size of the datasets impact the choice of Machine Learning algorithm?
- Larger datasets always require more complex models
- Larger datasets may require more careful consideration of computational efficiency
- Size doesn’t impact the choice of algorithm
- Size only impacts the choice of hyperparameters
Larger datasets may require more computational resources, so choosing an algorithm that can handle the computational complexity might be critical. The choice might not be solely determined by the size, but it can certainly impact the decision.
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