The KNN classifier's most common issue was mislabeling other classes, or neighbors, into curves. However, with only one physical example, **data** with a more varied power spectrum were more likely to fall into that category. The ANN classifier failed to accurately detect much of the **data** without distinction. One of the main problems of the classifier could be the sensitivity to scaling.