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QSAR in Development of Antidepressants

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Why use GFA<br />

• builds multiple models rather than a s<strong>in</strong>gle<br />

model<br />

• selects descriptors to be used <strong>in</strong> the<br />

models<br />

• discovers comb<strong>in</strong>ations <strong>of</strong> descriptors<br />

– correlations between multiple features<br />

• Friedman's lack <strong>of</strong> fit(LOF) error measure<br />

– estimates best number <strong>of</strong> features<br />

– resists overfitt<strong>in</strong>g

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