
Answer-first summary for fast verification
Answer: time_col
The correct answer is **C. time_col**. This parameter is essential for identifying the column in your dataset that contains the timestamps, which is crucial for AutoML to correctly interpret the time-based nature of your data and build appropriate forecasting models. Other parameters like `target_col` specify the value you want to forecast, `max_trials` limits the number of model training attempts, and `exclude_cols` removes certain columns from model training. Accurately setting the `time_col` ensures that AutoML aligns the data correctly based on time for effective forecasting.
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