Issue | #Downvotes for this reason | By |
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A | Use the 1 SE rule to make pruning decision. (default no). | |
C | Percentage of training data size (0-1] (default 1). | default: true |
D | If set, classifier is run in debug mode and may output additional info to the console | |
G | Don't use Gini index for splitting (default yes), if not information is used. | |
H | Don't use heuristic search for nominal attributes in multi-class problem (default yes). | |
M | The minimal number of instances at the terminal nodes. (default 2) | default: 2 |
N | The number of folds used in the pruning. (default 5) | default: 5 |
P | The pruning strategy. (default: POSTPRUNED) | default: POSTPRUNED |
R | Don't use error rate in internal cross-validation (default yes), but root mean squared error. | |
S | Random number seed. (default 1) | default: 1 |