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