cross pollinate data
disable test
enable test, allow optimal to fail 1 in 5
rmse loss
maintain classification ratios when cross pollinating data
updated setting of insets and outsets
fixed logic in settin true and false training sets in TreeBuilder
updated the decide function for catagorical branch to associate a missing value with the missing value label
updated treeBuilder and Classification Counter to be compatible with split predictive model
disable test
Merge remote-tracking branch 'origin/updatableSplitBuilder' into updatableSplitBuilder
fixed some bugs
cleaned missing value variable value to a string
Merge branch 'updatableSplitBuilder' of github.com:sanity/quickdt into updatableSplitBuilder
get cross data in reverse order
fixed separaring true and false data sets for supporting data set in the split predictive model
add an id to a model builder to use as split attribute value
clean attributes from supporting builder instead of tree builder
clean attributes from supporting builder instead of tree builder
support whitelist in builder builder