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. 2015 Jun 17;10(6):e0128193. doi: 10.1371/journal.pone.0128193

Table 1. Transitive closure calibration.

Directed Undirected
k-NN RF k-NN RF
House Metric 96 99 97 99
House Ultra-metric 56 57 53 57
Senate Metric 70 100 96 100
Senate Ultra-metric 49 39 70 61

Area under Receiver Operating Characteristic (ROC) curve of two classifiers, random forests (RF) and k-nearest neighbors (k-NN) on the ideological classification task.