Amazon SageMaker Autopilot experiments run with Ensemble training mode provide additional metrics and visibility into the AutoML workflow

Amazon SageMaker Autopilot now provides insights into the underlying workflow for each trial within a SageMaker Autopilot experiment launched with ensemble training mode. SageMaker Autopilot ranks a list of machine learning (ML) models by inference latency i.e. the time one has to wait to get prediction result from a real time endpoint to which the model is deployed, and objective metrics such as accuracy, precision, recall, and area under the curve (AUC) in the model leaderboard. SageMaker Autopilot automatically builds, trains and tunes the best ML models based on your data, while allowing you to maintain full control and visibility. 

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