Your description of this technique as "6x48" reminds me of 1D convolutional neural networks. I always had a gut feeling that there was some kind of unifying pr

Your description of this technique as "6x48" reminds me of 1D convolutional neural networks. I always had a gut feeling that there was some kind of unifying principle between NN and tree ensemble models. I wonder if the latter is kind of like a highly quantized, compressed version of the former, which explains why tree ensembles seem to work better than NNs on "lower resolution" data.