Numerical Data Preparation

Here are some examples of how ADP prepares numerical data:

• For algorithms that require binned data (such as Naive Bayes), ADP performs supervised binning. Supervised binning is a special binning approach that takes into account the target to find good cut-points in the predictor.

• For algorithms that require normalized data (such as Support Vector Machines), the numerical data is normalized.

• For algorithms that can handle untransformed data (such as Decision Tree), you can use the numerical data to find splitters in the tree with an approach similar to supervised binning.