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There are two most critical steps (not only for the real case, but also for the demo): the first one is to get as many relevant data as possible; data logging is therefore the first most critical point. Second, you need to well screen the acquired data and categorize them properly. These steps are fundamental, without a proper logging, data analysis and classification, the final Decision Tree algorithm will perform below the expectations.
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