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Titanic

Analysis of what sorts of people were likely to survive. In particular, this is going to predict which passengers survived the tragedy using Machine Learning approaches.

Variable Descriptions

Variable Description
survival Survival (0 = No; 1 = Yes)
pclass Passenger Class (1 = 1st; 2 = 2nd; 3 = 3rd)
name Name
sex Sex
age Age
sibsp Number of Siblings/Spouses Aboard
parch Number of Parents/Children Aboard
ticket Ticket Number
fare Passenger Fare
cabin Cabin
embarked Port of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton)

SPECIAL NOTES:

  • Pclass is a proxy for socio-economic status (SES) : 1st ~ Upper; 2nd ~ Middle; 3rd ~ Lower
  • Age is in Years; Fractional if Age less than One (1). If the Age is Estimated, it is in the form xx.5
  • With respect to the family relation variables (i.e. sibsp and parch), some relations were ignored.  The following are the definitions used for sibsp and parch.
    • Sibling:  Brother, Sister, Stepbrother, or Stepsister of Passenger Aboard Titanic
    • Spouse:   Husband or Wife of Passenger Aboard Titanic (Mistresses and Fiances Ignored)
    • Parent:   Mother or Father of Passenger Aboard Titanic
    • Child:    Son, Daughter, Stepson, or Stepdaughter of Passenger Aboard Titanic
    • Other family relatives excluded from this study include cousins, nephews/nieces, aunts/uncles, and in-laws.  Some children travelled only with a nanny, therefore parch=0 for them.  As well, some travelled with very close friends or neighbors in a village, however, the definitions do not support such relations.

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