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. Author manuscript; available in PMC: 2020 Sep 15.
Published in final edited form as: Hear Res. 2019 Aug 8;381:107782. doi: 10.1016/j.heares.2019.107782

Figure 5. Examples of decision tree outcomes.

Figure 5.

Example ABR level series (with observer 1 and 2 thresholds emboldened) and their corresponding correlation-coefficient vs. level functions fit using either sigmoidal (blue) or power (pink) functions. Green arrows indicate which fit was selected by the algorithm. In addition to threshold values, 95% prediction intervals are given. Letters (A-D) refer to flowchart in Figure 4. A: The sigmoidal fit has a lower RMS error (0.03 vs. 0.06), and the fit min and max value span the criterion (0.35). B: The power fit has a lower RMS error (0.12 vs. 0.5) and the adjusted R2 (0.84) exceeds 0.7. C: The sigmoidal fit fails based on the slope conditional (d = 0.0047) and RMS error (0.1836 vs. 0.1828). However, because the adjusted R2 (0.6) of the power2 fit is less than the 0.7 cutoff, the run is flagged as needing visual verification. D: The sigmoid fit yielded the lower error term (0.080 vs. 0.083), however neither fits crosses the criterion value of 0.35.