python data analysis project

Introduction

Use five-fold mode and separate the data into training and testing sets.

Data Dictionary description

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

parch          # of parents/children

fare             Passenger fare              

embarked  Port of Embarkation                         C = Cherbourg, Q = Queenstown, S = Southampton

Variable Notes

pclass: A proxy for socio-economic status (SES)

1st = Upper

2nd = Middle

3rd = Lower

age: Age is fractional if less than 1. 

sibsp: The dataset defines family relations in this way...

Sibling = brother, sister, stepbrother, stepsister

Spouse = husband, wife (mistresses and fiancés were ignored)

parch: The dataset defines family relations in this way...

Parent = mother, father

Child = daughter, son, stepdaughter, stepson

Some children travelled only with a nanny, therefore parch=0 for them.

Analysis requirement:

1. How is the survival chance related to the gender?

2. How is the survival chance related to age?

3. How is the survival chance related to socio-economic status?

5. What are the first three most important factors related to the survival chance?

6. What is average prediction accuracy?