18828 22339 weka.classifiers.trees.LMT weka.classifiers.trees.LMT 1 Weka_3.9.5_15519 Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 675-683, 2005. 2021-06-08T14:29:22 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). -doNotMakeSplitPointActualValue flag ["false"] Do not make split point actual value. A flag ["false"] The AIC is used to choose the best iteration. B flag ["false"] Binary splits (convert nominal attributes to binary ones) C flag ["false"] Use cross-validation for boosting at all nodes (i.e., disable heuristic) I option ["-1"] Set fixed number of iterations for LogitBoost (instead of using cross-validation) M option ["15"] Set minimum number of instances at which a node can be split (default 15) P flag ["false"] Use error on probabilities instead of misclassification error for stopping criterion of LogitBoost. R flag ["false"] Split on residuals instead of class values W option ["0.0"] Set beta for weight trimming for LogitBoost. Set to 0 (default) for no weight trimming. batch-size option [] The desired batch size for batch prediction (default 100). 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