Fig. 6 | Scientific Reports

Fig. 6

From: Machine learning for quantitative LIBS analysis of aluminum alloys: a comparison of random forest, gradient boosting, and extremely randomized trees

Fig. 6The alternative text for this image may have been generated using AI.

Reference versus predicted compositions obtained with the RF model for the validation samples (E114, G77J4, cp-Al 11694, and cp-Al 11695). Axis breaks highlight the ranges (a) 0–1 wt% and (b) 1–7 wt%. The dashed line represents the 1:1 correlation.

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