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Prediction Power of Property-based Approaches

Since the final purpose of any log P model is to predict new data, the benchmarking of different models allows us to compare their advantages and disadvantages. The methods were benchmarked using a dataset of 284 molecules selected from the book of Avdeef [90]. This dataset mainly contains experimental measurements [Pg.394]


Prediction Power of Property-based Approaches 399 15.4.4.2 Overlap in the Training and Benchmarking Sets... [Pg.399]


See other pages where Prediction Power of Property-based Approaches is mentioned: [Pg.394]    [Pg.395]    [Pg.397]   


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