Visibility: public Uploaded 08-06-2021 by Tan Zheng Weka_3.9.5 0 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By

Loading wiki
Help us complete this description Edit
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.


-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).default: ["false"]
-doNotMakeSplitPointActualValueDo not make split point actual value.default: ["false"]
AThe AIC is used to choose the best iteration.default: ["false"]
BBinary splits (convert nominal attributes to binary ones)default: ["false"]
CUse cross-validation for boosting at all nodes (i.e., disable heuristic)default: ["false"]
ISet fixed number of iterations for LogitBoost (instead of using cross-validation)default: ["-1"]
MSet minimum number of instances at which a node can be split (default 15)default: ["15"]
PUse error on probabilities instead of misclassification error for stopping criterion of LogitBoost.default: ["false"]
RSplit on residuals instead of class valuesdefault: ["false"]
WSet beta for weight trimming for LogitBoost. Set to 0 (default) for no weight trimming.default: ["0.0"]
batch-sizeThe desired batch size for batch prediction (default 100).default: []
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).default: []
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the consoledefault: ["false"]


List all runs
Rendering chart
Rendering table