BTW, the following is unlikely to work, but worth a try. One can train the same kinds of models on visible light scans by using the ink outlines detected in multispectral images, in an attempt to extract some additional information from the color channels. I don't think linear regression would be able to use this data, but more advanced models could get something, especially if the basic feature is not a pixel, but a group of pixels (ordered or just a "bag of pixels"). I wonder if the TIFFs of the 2014 scans are still available? The link mentioned in You are not allowed to view links. Register or Login to view. no longer works for me (404).
Update: I found a link to the stored copies on the Wayback Machine, provided by nablator here <https://www.voynich.ninja/thread-2019-post-44240.html#pid44240>, but getting the images this way one by one is a bit cumbersome. Turns out there is a bundle with all the images there as well.
Update: I found a link to the stored copies on the Wayback Machine, provided by nablator here <https://www.voynich.ninja/thread-2019-post-44240.html#pid44240>, but getting the images this way one by one is a bit cumbersome. Turns out there is a bundle with all the images there as well.