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 (http://machinelearningmastery.com/).
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:
- Label all passengers dead or the attribute $Survived = 0 (The worst-case scenario)
- Label all female passengers survived or the attribute $Survived = 1
- 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.