We developed, validated, and tested a classification model to convert the curated descriptors to the acute fish toxicity categories. For this model, we employed random forest classification, implemented via ScikitLearn.jl julia package. For the direct classification, we split the acute fish toxicity dataset (i.e. curated the descriptors and toxicity categories) into training set (90% of the full dataset) and test set (10%).