Developer Relations / Coffee Machine Stages - Multi-label data Public

Anomaly detection settings

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Select feature axes to include in model training.

Training output

Model

By definition there should be as few as possible anomalies in the training dataset, and thus accuracy is not calculated during training. Run Model testing to learn more about the model performance.

Anomaly explorer

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Retrain this model to reveal additional visualizations