You need a model that predicts a target field based on other fields in a dataset and then triggers an anomaly if the value does not match the prediction. Which machine learning (ML) algorithm will you use to build this type of model?
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Reference / correct answer:
Most accepted answer: A. Regression
Community votes: A=2
Selected Answer: A In FortiSIEM playbook/Jinja context, `{{vars.input.records[0].srcIpAddr}}` would resolve to the source IP address value from the first incident record, not the field name itself. Fortinet documentation shows `vars.input.records[0].name`-style access for record fields, and FortiSIEM’s incident schema includes `srcIpAddr` as the source IP attribute upvoted 1 times
Selected Answer: A Study guide page 372 Types of maching learning models: regression upvoted 1 times