Using a few different ensemble methods, including Random Forests, survival on the Titantic is predicated.
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README.md
caret-demonstration.R
demonstration-ggplot-multipleLine.R
mTitanic.csv
mTitanicAge.csv
titanic-ada-caret.R
titanic-forest-age.R
titanic-forest-party-survived.R
titanic-forest-surived-matrix.R
titanic-forest-survived.R
titanic-gbm-survived.R
titanic-rforest-caret.R

README.md

random-forest

Using a few different ensemble methods, including Random Forests, survival on the Titantic is predicated.

  • "caret-demonstration.R" demonstration of the Caret package using the sonar data set.

  • "demonstration-ggplot-multipleLine.R" demonstration of multiple line using GGplot2

  • "mTitanic.csv" Basic Titanic data set with missing ages

  • "mTitanicAge.csv" Titanic data set with missing ages being replaced by predicted ages.

  • "titanic-ada-caret.R" Uses the Caret package and Ada Boost to create 486 models and then choose the best model

  • "titanic-forest-age.R" Uses Random Forests to predict missing ages (randomForest package)

  • "titanic-forest-party-survived.R" Uses Random Forests to predict survival (party package)

  • "titanic-forest-surived-matrix.R" Incomplete. Graphing of Random Forest Monte Carlo simulation

  • "titanic-forest-survived.R" Uses Random Forests to predict survival (randomForest package)

  • "titanic-gbm-survived.R" Uses generalised boosing models to predict survival (gbm package)

  • "titanic-rforest-caret.R" Uses the Caret package to generate 9 models and then choose the best (randomForest)