In the process of data analysis, you define a role for each predictor based on their predictive power and analyze them based on the known behavior of cases. Prediction Studio automatically prepares and analyzes every field (excluding outcome and weight) with two possible treatments for each field.
The following treatments are possible:
Continuous or ordinal data
- Continuous treatment for numeric fields involves the use of values as predictions.
- Ordinal treatment of symbolic fields involves the use of the order of values as predictions.
- Categorical treatment for numeric and symbolic fields involves using the probability of positive behavior for each (grouping of numeric predictors) as prediction.
- Ordinal symbolic and categorical symbolic or numeric go through a process of assigning the values to bins combining the bins to create a powerful, reliable relationship between bins and behavior.
Previous topic Defining the outcome field for continuous models Next topic Defining the predictor role