We found trends likely to generalize to other sensing tasks: (i) some categories of anomalies are better detected than others, and (ii) the performance of the anomaly detector diminishes when (a) the size of the training data set decreases, (b) the precision of the transducer decreases, and (c) the variance of concentrations of interfering gas species increases.