509 2 weka.SimpleLogistic 2 Weka_3.7.12-SNAPSHOT_10141 Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. 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. 2014-08-18T17:18:45 English Weka_3.7.12-SNAPSHOT -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). A flag The AIC is used to choose the best iteration (instead of CV or training error). H option 50 Set parameter for heuristic for early stopping of LogitBoost. If enabled, the minimum is selected greedily, stopping if the current minimum has not changed for iter iterations. By default, heuristic is enabled with value 50. Set to zero to disable heuristic. I option 0 Set fixed number of iterations for LogitBoost M option 500 Set maximum number of boosting iterations P flag Use error on probabilities (rmse) instead of misclassification error for stopping criterion S flag Use stopping criterion on training set (instead of cross-validation) W option 0.0 Set beta for weight trimming for LogitBoost. Set to 0 for no weight trimming. output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console study_2 study_37 Verified_Learning_Curve,Verified_Supervised_Classification