Consider an automated house, where we can collect router data every minute. The objective is to predict router fail/no fail (1/0) in a future time window. The router sends data at two different levels every minute: Router properties of the device: Memory, Temperature, Usage (router level) Data collected from N different IoT devices, received rates, signals (IoT device level) Since the target is defined at the router level, how could the IoT individual data be incorporated into the classifier?

Classification problem with 2 level features

Data Science Asked by molse on June 21, 2021

Consider an automated house, where we can collect router data every minute. The objective is to predict router fail/no fail (1/0) in a future time window.

The router sends data at two different levels every minute:

Router properties of the device: Memory, Temperature, Usage (router level)
Data collected from N different IoT devices, received rates, signals (IoT device level)

Since the target is defined at the router level, how could the IoT individual data be incorporated into the classifier?

binary classification classification machine learning

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