How often does the Active Learning model rebuild when actively coded in the queue?

The Active Learning model is designed to enhance its effectiveness by regularly integrating new data and insights. When actively coded in the queue, it typically rebuilds every 20 minutes. This frequent rebuilding allows the model to adapt to changes in data patterns and improve its predictive capabilities in real-time situations. The ability to refresh the model at this interval ensures that it remains aligned with the current state of the dataset, which is essential in dynamic environments where data can change rapidly. This process is crucial for maintaining the accuracy and relevance of predictions made by the model.