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Application of Random Forest Approach to QSAR Prediction of Aquatic Toxicity.
Pavel G. Polishchuk
Eugene N. Muratov
Anatoly G. Artemenko
Oleg G. Kolumbin
Nail N. Muratov
Victor Kuzmin
Published in:
J. Chem. Inf. Model. (2009)
Keyphrases
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random forest
random forests
decision trees
prediction accuracy
ensemble methods
multi label
neural network
computer vision
bayesian networks
artificial neural networks
fold cross validation
drug discovery
feature importance