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Making predictions on streaming data that often have missing features; what is a good algorithm to use?
Jan. 6, 2022, 4:57 a.m. | /u/integraltech
Data Science www.reddit.com
Suppose I trained an algorithm on a dataset with 20 features, which is the maximum possible number of features that may be present in the test set. An example is predicting the number of hours of sleep that will be obtained at night based on biometric data such as caffeine intake, hours of exercise, resting heart rate, BMI, etc. during the previous day.
In the test set, people vary in how many features they choose or are able to submit. …
!-->algorithm data datascience good making predictions streaming
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