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5 by 400: The results of 5 by 400 is very good. The predictions are accurate. (classification working) 2 by 200: similar results to the 5 by 400. rand 5 by 400: sigma: 2.8643e6 nu: 0.1147 rho: 34977 sigma: 1.4739e6 nu: 0.37443 rho: 6688 sigma: 2.3407e6 nu: 2.9989 rho: 9053 sigma: 3.5659e6 nu: 1.012 rho: 41797 sigma: 1.8181e6 nu: 1.5859 rho: 3771 results are also good when categorized rand 10 by 200: sigma: 3.2119e6 nu: 0.92067 rho: 7541 sigma: 1.1503e6 nu: 0.47416 rho: 37495 sigma: 2.7595e6 nu: 2.903 rho: 4224 sigma: 2.5776e6 nu: 2.3118 rho: 14321 sigma: 1.2835e6 nu: 1.0533 rho: 8779 sigma: 3.3465e6 nu: 2.5929 rho: 4980 sigma: 3.14e6 nu: 2.8828 rho: 9225 sigma: 3.9627e6 nu: 2.3391 rho: 25686 sigma: 3.7049e6 nu: 1.7893 rho: 4265 sigma: 3.8864e6 nu: 1.7795 rho: 10691 Observations from loss distributions: Prediciting rho is consistent and good. All losses for rho are very close to a normal distribution of some kind. sigma and nu aren't as good. Some of the losses for sigma and nu do not look normal. When the images are categorized, all three perform well, including in the random category.
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