kaggle-titanic

Solutions for the Titanic Kaggle Competition

1. nb_titanic.R
   Description - Naive Bayes solution in R to predict Titanic Survivors.
   Kaggle score = 0.74641. Model error rate (on training set) = 21.55% .
   The variables used in this program are "Pclass", "Age", "Sex", "Parch", "SibSp", "Fare".

2. nnet_titanic.R
   Description - Neural Net algorithm on the Titanic dataset from kaggle.
   Kaggle score = 0.77033. Model error rate (on training set) = 12.8% .
   

3. rf_titanic.R
   Description - Random Forest algorithm on the Titanic dataset from kaggle.
   Kaggle score = 0.77512. Model error rate (on training set) = 15.4% .
   

4. tree.R
   Description - Decision tree algorithm on the Titanic dataset from kaggle.
   Kaggle score = 0.78947. Model error rate (on training set) = 17.7% .
   This turned out to be my best performing model even though the model doesn't fit as well as RandomForest or NeuralNet.

5. gender.R
   Description - Predictions based on gender only.
   Kaggle score = 0.76555
   This is the baseline model.

6. Logic_rules.R
   Description - Survival prediction based on broad observations from the training set
   Kaggle score = 0.77033.