The three most common split methods are:
- Stratified sampling - this method involves splitting the data into two groups, then taking a random sample from each group;
- Random sampling - this method involves taking a random sample from each group; and
- Bootstrapping - this method involves taking an initial sample from each group and then re-sampling with replacement until all groups have been sampled.
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