Choosing the Algorithm

The ALGO_NAME setting specifies the algorithm for a model. If you use the default algorithm for the mining function, or if there is only one algorithm available for the mining function, you do not need to specify the ALGO_NAME setting. Instructions for specifying model settings are in "Specifying Model Settings".

Table 5-5 Data Mining Algorithms

ALGO_NAME Value	Algorithm	Default?	Mining Model Function
`ALGO_AI_MDL`	Minimum Description Length	—	attribute importance
`ALGO_APRIORI_ASSOCIATION_RULES`	Apriori	—	association
`ALGO_DECISION_TREE`	Decision Tree	—	classification
`ALGO_EXPECTATION_MAXIMIZATION`	Expectation Maximization
`ALGO_GENERALIZED_LINEAR_MODEL`	Generalized Linear Model	—	classification and regression
`ALGO_KMEANS`	k-Means	yes	clustering
`ALGO_NAIVE_BAYES`	Naive Bayes	yes	classification
`ALGO_NONNEGATIVE_MATRIX_FACTOR`	Non-Negative Matrix Factorization	yes	feature extraction
`ALGO_O_CLUSTER`	O-Cluster	—	clustering
`ALGO_SINGULAR_VALUE_DECOMP`	Singular Value Decomposition (can also be used for Principal Component Analysis)	—	feature extraction
`ALGO_SUPPORT_VECTOR_MACHINES`	Support Vector Machine	yes	default regression algorithm regression, classification, and anomaly detection (classification with no target)