Table 2. Random Forest Importance: Percent Increase in Mean Square Error (Scaled)
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Table 2 Legend. The importance from random forest prediction of change from baseline to 12 months in hemoglobin, HDL cholesterol, vBMD, sexual desire, and prostate-specific antigen (PSA) using average change in estradiol, DHT, and total testosterone. Larger values indicate a greater predictive value of the indicated hormone in the change in the marker from baseline. Importance is determined by calculating the percent increase in the prediction error (mean square error) when values of the indicated hormone are randomly permuted among participants. Models also include baseline hormones and marker values