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Update README.md #4

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -72,7 +72,7 @@ For the multi-task algorithms, we use a special data structure saved to a pickle
- The .csv file will be partitioned such that predicting related outcomes is each task (e.g. predicting stress is one task and predicting happiness is another)
- Normalization is done based on training data for entire group
- Users-as-tasks:
- The .csv file will be partioned such that predicting the outcome of each user is one task.
- The .csv file will be partitioned such that predicting the outcome of each user is one task.
- Need to specify which label to target (i.e., the label that you will be predicting)
- Normalization is done per-person

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