Fig. 2: Performance evaluation scores on empirical datasets. | Nature Communications

Fig. 2: Performance evaluation scores on empirical datasets.

From: Harnessing machine learning to guide phylogenetic-tree search algorithms

Fig. 2

A histogram of the three performance scores of the learning algorithm evaluated on: a the 4200 starting trees, using cross-validation; b the 1000 validation set starting trees. On the Y axis of both panels a and b are the percentages of empirical datasets in each accuracy score bin: (1) accuracy is computed as the Spearman correlation coefficient between the predicted ranking and the true ranking of neighboring trees; (2) accuracy is the rank (in percentile) of the empirically best neighbor within the predicted ranking; (3) accuracy is the rank (in percentile) of the predicted best neighbor within the empirical ranking.

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