Flow
weka.REPTree

weka.REPTree

Visibility: public Uploaded 09-09-2016 by Jan van Rijn Weka_3.9.0 22 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • Verified_Supervised_Classification weka weka_3.9.0
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Weka implementation of REPTree

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
IInitial class value count (default 0)default: 0.0
LMaximum tree depth (default -1, no maximum)default: -1
MSet minimum number of instances per leaf (default 2).default: 2
NNumber of folds for reduced error pruning (default 3).default: 3
PNo pruning.
RSpread initial count over all class values (i.e. don't use 1 per value)
SSeed for random data shuffling (default 1).default: 1
VSet minimum numeric class variance proportion of train variance for split (default 1e-3).default: 0.001
batch-sizeThe desired batch size for batch prediction (default 100).
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table