I need help with describing python plots. They deal with Neural Network Regression (tanh) with machine learning. I think the first plot deals with errors. The second plot shows how accurate the neural network was. The last plot I have no clue. Please provide a better description of the three plots than what I have already described as well as what do you see when you look at these plots in terms of neural network regression.

0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 20 40 60 80 100 100 0.75 0.50 0.25 0.00 -0.25 -0.50 -0.75 Actual Predicted 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 20 40 60 80 100 100 0.75 0.50 0.25 0.00 -0.25 -0.50 -0.75 Actual Predicted