![]() Next, we used the log data to train a state-of-the-art machine-learning model. This means, a random guess whether a users sees then message fast or slow has a chance of 50% to be correct. We used this time to split the data set into two parts: fast = seen within 7.81 min, slow = seen after 7.81 min. half of the messages were viewed within 7.81 minutes and the other half later.
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