Data for machine learning · Question 39 of 60
Which factors determine the amount of data used for training, evaluation and testing when enough data is available?
3 answers are correct. Medium
Show answer
Answer
- A The expected complexity of the model and the algorithm used
- C The available resources such as memory, computing power and time
- D The desired confidence in the resultant model
Explanation
With an abundance of data the amount used depends on the expected model complexity, the training algorithm, the available resources (RAM, disk space, computing power, bandwidth, time) and the desired confidence in the model.