Click the Exhibit button.
Based on the exhibit, which sub-classifier contributed the most to the capacity issues?
In the Mist AI Marvis Root Cause Analysis view, the Capacity classifier can be expanded into four sub-classifiers that quantify the percentage of user-minutes affected by low throughput: Non WiFi Interference, High Bandwidth Utilization, Excessive Client Load, and WiFi Interference. The sub-classifier with the highest percentage value represents the largest contributor to the capacity problem. In this case, WiFi Interference shows the highest value (71%), far exceeding Non WiFi Interference (29%), High Bandwidth Utilization (0%), and Excessive Client Load (<1%), meaning most of the capacity degradation is attributable to co-channel/adjacent Wi-Fi interference rather than client load or non-Wi-Fi interference sources.
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