Including more data in one sample of data turned out to me a lot more accurate (made the length of the 1D array larger). Guessing because there weren’t constant features in the data samples previously used. Now the problem I have is inconstancy with my balanced data set. The following are the same models, trained with the same raw dataset, but reprocessed a second time.
layers-7_parms-180_180_150_120_90_45_64_4_model-15800022771440×720 113 KB
 
layers-7_parms-180_180_150_120_90_45_64_4_model-15800031411440×720 119 KB
 
layers-7_parms-180_180_150_120_90_45_64_4_model-15800049011440×720 120 KB