Plot some figures

Today, I plotted some figures as we discussed.

Summary:

The following is the median R2  vs. delete number. Y-axis is the median R2 value. X-axis is the delete number. 1 represent using all 64 bins to calculate R2. 2 represent deleting 1 bin at each end of bins and use 62 bins to calculate R2. 10 represent deleting 9 bins at each end of bins and use 46 bins to calculate R2. From the figure, we can know that, actually, we do not need to delete any bins to calculate R2. The median R2 value of 64 bins is the highest.

The following is T2 Fit Accuracy. The median value of R2 is 0.983, which is very accurate.

The following is four examples of T2 distribution of different R2.

The following is R2 and NRMSE figure for training data (80% randomly). For all R2 below 0, I set it to 0 because they all represent poor prediction. The median value of R2 is 0.72 and the median value of NRMSE is 0.16.

The following is R2 and NRMSE figure for testing data (20% randomly). For all R2 below 0, I set it to 0 because they all represent poor prediction. The median value of R2 is 0.67 and the median value of NRMSE is 0.18.

Tomorrow, I will try to improve the model by combing 6 parameters and 64 bins results.