Completed the prediction model.  The model achieved a high-level of accuracy.

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Confusion Matrix and Statistics

          Reference
Prediction    A    B    C    D    E
         A 1115    2    0    1    0
         B    1  750    4    4    0
         C    0    5  679   11    1
         D    0    2    1  626    8
         E    0    0    0    1  712

Overall Statistics

               Accuracy : 0.9895
                 95% CI : (0.9858, 0.9925)
    No Information Rate : 0.2845
    P-Value [Acc > NIR] : < 2.2e-16

                  Kappa : 0.9868
 Mcnemar's Test P-Value : NA

Statistics by Class:

                     Class: A Class: B Class: C Class: D Class: E
Sensitivity            0.9991   0.9881   0.9927   0.9736   0.9875
Specificity            0.9989   0.9972   0.9948   0.9966   0.9997
Pos Pred Value         0.9973   0.9881   0.9756   0.9827   0.9986
Neg Pred Value         0.9996   0.9972   0.9985   0.9948   0.9972
Prevalence             0.2845   0.1935   0.1744   0.1639   0.1838
Detection Rate         0.2842   0.1912   0.1731   0.1596   0.1815
Detection Prevalence   0.2850   0.1935   0.1774   0.1624   0.1817
Balanced Accuracy      0.9990   0.9926   0.9937   0.9851   0.9936