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