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Table 2 Hypothetical placement of 60 Cases and Controls in training and testing sets

From: Examining the significance of fingerprint-based classifiers

  Node 8 Node 9 Node 10 Node 11 Node 12 Node 13 Node 14 Node 15
Overall 0:6 15:0 0:17 2:0 35:9 2:8 2:20 4:0
Training 0:5 10:0 0:11 2:0 23:6 1:5 1:13 3:0
Testing 0:1 5:0 0:6 0:0 12:3 1:3 1:7 1:0
  1. Overall placement of 60 Cases and 60 Controls (Cases:Controls) in the eight terminal nodes of the best decision tree shown in Table 1 and a hypothetical distribution between a training set and a testing set. Features 198, 140, 99, 68, 41, 95, and 251 are used in decision nodes 1 through 7 (Figure 1), respectively.