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

Question # 40032
  • Computer Science
    1 year ago
    $40
    1 year ago

    Sindre8


    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?

     

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