Plot T2 with different R2

Today, I plot T2 with different R2.

Summary:

The following is 6 parameters T2 plot with different R2. Because the lower R2 is, the poorer the prediction will be. There is nothing else special with negetive R2. So I just plot maximum, 0 and minumum R2.
R2= -4.3:

R2= 0:

R2= 0.9972:

The following is 64 bins T2 plot with different R2.
R2= -3.6:

R2= 0:

R2= 0.9934:

The following is the RMSE distribution of T2 with 6 parameters. Since it is not a value about percentage, I prefer not to use it.

The following is the RMSRE distribution of T2 with 6 parameters. The range of it is too big (from 0.2 to 1.8*10^37). I prefer not to use it.

The following is the NRMSE distribution of T2 with 6 parameters. The range of it is from 0 to 1. The smaller, the better. I prefer to use it. The median value of it is 0.17, which is good for prediction.

For MAE, it is also an absolute value, so I prefer not to use it.

In conclusion, I prefer R2 and NRMSE (normalized RMSE). They both have a relative value. If the value of R2 is close to 1, it means a good prediction. If the value of NRMSE is close to 0, it means a good prediction.

I spend about one hour to look for the terminology of the method of dividing my categories, but I do not find it. Maybe there is no terminology for it.

You can first read it clearly if I upload it. I will put my tonight's work to tomorrow's blog.

At tonight and tomorrow, I will plot what you say and continue to think about the combination of 64 bins and 6 parameters to improve the prediction.