Utilizing machine intelligence to identify anomalies

A system comprising;

• a processor;
• a memory device containing instructions, which when executed by the processor cause the processor to:
• receive an input data set including rows of values for different features of the input data set, each row including a different combination of values for the different features;
• classify one or more of the rows of values as an anomaly based on anomaly scores determined for each of the rows of values;
• determine a subset of the different features that affect the anomaly scores of the one or more rows classified as the anomaly;
• determine a root cause for at least one of the rows classified as the anomaly based on values of the subset of the different features for the at least one of the rows;
• and
• provide an indication of the root cause to a device to enable the device to perform an action when encountering conditions corresponding to the root cause at a subsequent time.

A non-transitory computer-readable medium comprising instructions, which when executed by a computing device, cause the computing device to perform operations comprising:

• receiving an input data set including rows of values for different features of the input data set, each row including a different combination of values for the different features;
• classifying one or more of the rows of values as an anomaly based on anomaly scores determined for each of the rows of values;
• determining a subset of the different features that affect the anomaly scores of the one or more rows classified as the anomaly;
• determining a root cause for at least one of the rows classified as the anomaly based on values of the subset of the different features for the at least one of the rows;
• and
• providing an indication of the root cause to a device to enable the device to perform an action when encountering conditions corresponding to the root cause at a subsequent time.