Figure 4
From: Towards structured output prediction of enzyme function
The advantage of MMR over the NN classifier with different training set sizes and nearest neighbor distances. Depicted on the left is the difference in MMR and NN Gold Standard classification F1-score when trainingset size m and the kernel value between test example and trainingset nearest neighbor are increasing on the GS dataset. On the right same information is given for the EC dataset.