Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...
This indicates that the anomalous data item has an age value that's a bit too small (actual 36 versus a predicted of 40) and an income value that's a bit too large (actual $53,000 versus a predicted ...
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