Research Module Application

Goal

Apply the ML-Methods Random Forest, AdaBoost, and Gradient Boosting on real data, and compare its performance. More specifically, the challenge is to predict the survival of the Titanic passengers based on their individual attributes.

Data

The Titanic data set contains information about the passengers of the Titanic, which sank on 1912, including whether they survived or not.

Variable	Definition	Key
survival	Survival	0 = No, 1 = Yes
pclass	Ticket class	1 = 1st, 2 = 2nd, 3 = 3rd
sex	Sex
Age	Age in years
sibsp	# of siblings / spouses aboard the Titanic
parch	# of parents / children aboard the Titanic
ticket	Ticket number
fare	Passenger fare
cabin	Cabin number
embarked	Port of Embarkation	C = Cherbourg, Q = Queenstown, S = Southampton