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Distributed Time Series in Machine Learning - ML 088

Adventures in Machine Learning

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Using Probability Estimation in a Visualization Is Important

You can use plus or minus on your estimate based on some confidence level usually 95% is like the AB testing 0.05 alpha that's often way way too conservative for a forecast and you get really wide prediction intervals but maybe like the 50th percentile like plus or minus 25% that would be another way to display that information yeah. The other aspect of that is whoever's gonna be consuming the results of something like this where you know there's probably gonna be some some garbage in there if you expose that data in raw tabular format or in a visualization make sure that the consumers of it understand what everything is on that. There are keys that you can do you know color coding and write some

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