predict categories

Today, I predicted two categories and add them to 23  input data from IP. The total 25 of them predict T2 distribution not badly.

Summary:

Since my 24th category is about one peak or two peak, so I set them 0 or 1. My 25th category is about the total permeability of the depth, I set them from -2, -1, 0, 1 to 2.
Since they are from T2 distribution, so they should be predicted first. I use the k-nearest neighbor method to predict them by 23 logging data.
The accuracy of 24th category is 97% and that of 25th category is 79%. And the new ANN model performance is shown below:

The first is R2 distribution of prediction performance. The median value is 0.5, which is lower than yesterday's (0.65).
The second is the comparison plots.

Tomorrow, I will try new methods to improve the prediction accuracy of two categories.