Does this sound legit, for people working with CNN and Time Series?
I have a Framework that applies Dynamic Tim Warping (DTW) on time series, using the DTW distance matrix, I cluster my data and create labels for each time series and then apply a 1DConvNet to make classification.
I end up with a very high validation accuracy, ca. 95%, and it also does not really look like overfitting or underfitting to me. But a 95% accuracy is too high in my eyes. I have a dataset that has 150 time series and each has 200 time steps. For clustering, I use KMeans Cluster with 4 clusters.