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You are a machine learning engineer at a telecommunications company tasked with developing a predictive maintenance model to forecast network equipment failures. The dataset includes time series sensor data such as temperature, pressure, usage, and error rates recorded over time. The company aims to minimize unplanned downtime by predicting failures just in time to optimize maintenance schedules. Which Amazon SageMaker built-in algorithm is the MOST SUITABLE for this use case?