The finally optimized regression model consisted of 600 trees, minimum 4 points in each leaf, and 8 variables. This regression model was employed to predict the 96h LC50 for fish toxicity of the chemicals in the Norman dataset. In a second step, the predicted LC50 values were used to categorize the chemicals into the two types of toxicity categories described above.