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 ...
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 ...
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