Model tree (with two linear regression models, LM1 and LM2) constructed by M5′, describing the negative self-concept score and its correlation coefficient

<p><b>Copyright information:</b></p><p>Taken from "Personality Traits in Miners with Past Occupational Elemental Mercury Exposure"</p><p>Environmental Health Perspectives 2006;114(2):290-296.</p><p>Published online 18 Jan 2006</p><p>PMCID:PMC1367847.</p><p>This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original DOI.</p> The number of subjects in each leaf is given in parentheses. The numbers in brackets correspond to the minimal, maximal, average, median values, and (in bold if present) the relative importance factor of each numerical attribute. The relative importance factor is the product of an average value and a coefficient in the model

Model tree (with four linear regression models, LM1 to LM4) constructed by M5′, describing the depression score and its correlation coefficient

<p><b>Copyright information:</b></p><p>Taken from "Personality Traits in Miners with Past Occupational Elemental Mercury Exposure"</p><p>Environmental Health Perspectives 2006;114(2):290-296.</p><p>Published online 18 Jan 2006</p><p>PMCID:PMC1367847.</p><p>This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original DOI.</p> The number of subjects in each leaf is given in parentheses. The numbers in brackets correspond to the minimal, maximal, average, median values, and (in bold if present) the relative importance factor of each numerical attribute. Relative importance factor is the product of an average value and a coefficient in the model