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