Fortiweb Machine Learning Policy

AI is a utilization of man-made reasoning (AI) that gives frameworks the capacity to naturally take in and improve for a fact without being unequivocally customized. AI centers around the improvement of PC programs that can get to information and use it to find out on their own.

Source : Machine Learning Course in Pune

A) When machine learning (ML) is in its collecting phase, FortiWeb will accept an unlimited number of samples from the same source IP address.

Explanation:
The parameter sample-limit-by-ip in FortiWeb’s machine learning policy defines how many samples can be collected from a single source IP address during the ML data collection phase.

• When you set sample-limit-by-ip to 0, it effectively disables the limit, meaning FortiWeb will collect unlimited samples from any single IP address.

• This can be useful in controlled environments or when traffic sources are limited, ensuring that all available data is used to train the ML model.

• However, in production environments, this might increase the risk of biased learning if one IP contributes too many samples.

So, the expected result is that FortiWeb will accept an unlimited number of samples from the same source IP address during the ML collecting phase.

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