Simple Classification of Titanic Dataset, Take 1

Methodology Credit: Adapted from a tutorial made available by Trevor Stephens, Titanic: Getting Started With R.

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery.

Data Set Description: https://www.kaggle.com/c/titanic/data

Benchmark References: https://www.kaggle.com/c/titanic/data

For the take #1 version of the project, I have done a few iterations of generating predictions and submitting them to Kaggle to gather the accuracy metric. The iterations are:

  1. Label all passengers dead or the attribute $Survived = 0 (The worst-case scenario)
  2. Label all female passengers survived or the attribute $Survived = 1
  3. Label all female passengers with Pclass=3 and Fare > 20 dead or the attribute $Survived = 0

The HTML formatted report can be found here on GitHub.