The response can be either continuous or categorical (nominal or ordinal):
• If the response is categorical, then it is fitting the probabilities estimated for the response levels, minimizing the residual log-likelihood chi-square [2*entropy].
• If the response is continuous, then the platform fits means, minimizing the sum of squared errors.
The factors can be either continuous or categorical (nominal or ordinal):
• If the factor is continuous, then the partition is done according to a splitting “cut” value for the factor.
• If the factor is categorical, then it divides the X categories into two groups of levels and considers all possible groupings into two levels.