18831 22339 weka.classifiers.trees.RandomTree weka.classifiers.trees.RandomTree 1 Weka_3.9.5_15519 Weka implementation. 2021-06-08T15:43:46 English Weka_3.9.5 -do-not-check-capabilities flag ["false"] If set, classifier capabilities are not checked before classifier is built (use with caution). B flag ["false"] Break ties randomly when several attributes look equally good. K option ["0"] Number of attributes to randomly investigate. (default 0) (<1 = int(log_2(#predictors)+1)). M option ["1.0"] Set minimum number of instances per leaf. (default 1) N option [] Number of folds for backfitting (default 0, no backfitting). S option ["1"] Seed for random number generator. (default 1) U flag ["false"] Allow unclassified instances. V option ["0.001"] Set minimum numeric class variance proportion of train variance for split (default 1e-3). batch-size option [] The desired batch size for batch prediction (default 100). depth option [] The maximum depth of the tree, 0 for unlimited. (default 0) num-decimal-places option [] The number of decimal places for the output of numbers in the model (default 2). output-debug-info flag ["false"] If set, classifier is run in debug mode and may output additional info to the console weka weka_3.9.5