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Demos/Predictive Modeling/Iris O-PLS-DA/O-PLS_modeling_of_Iris_data.md

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@@ -359,4 +359,4 @@ table(pred,obs)
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#twoClassSummary(data=data.frame(obs,pred,prob),lev=levels(pred))
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```
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#### The random forest (RF) model does better than O-PLS, but this is pretty siple data set. From my experience RF is far more robust than O-PLS-DA for classification. It nicely handles multiple classes, is robust to over fitting and unlike O-PLS can be calculated in parallel.
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#### The random forest (RF) model does better than O-PLS, but this is a pretty simple data set. From my experience RF is far more robust than O-PLS-DA for classification. It nicely handles multiple classes, is robust to over fitting and unlike O-PLS can be calculated in parallel.

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