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Fig. 3 | BMC Bioinformatics

Fig. 3

From: EvalDNA: a machine learning-based tool for the comprehensive evaluation of mammalian genome assembly quality

Fig. 3

Performance of the random forest regression model on test data. Estimated quality scores for the test instances are plotted against the reference-based quality scores of the test instances. A 100% accurate model would produce the blue line with an r-squared equal to 1. The line of best fit for the plotted data is shown as the red line and has an r-squared of 0.8597

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