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Probability for one-class classifiers are in the range (0, 1], i.e., 0 < Probability <= 1. Whether there is an anomaly in sensor readings is determined by thresholding this probability. If threshold is beta, Qeexo AutoML performs the following computation to detect anomaly: IF Probability < beta: Signal is Normal ELSE: Signal is Abnormal
In a Single-class Classification project, how do I calibrate the threshold manually during Live Testing?
Click on “MANUAL CALIBRATION” on the Live Testing screen and enter a threshold between 0 to 1. Please refer to the Qeexo AutoML User Guide for additional information.
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