About the Data
The data has been split into two groups: training set (train.csv) and test set (test.csv)
The training set should be used to build your machine learning model.
For the training set, we provide the outcome (also known as the “ground truth”) for each passenger.
Your model will be based on “features” like passengers’ gender and class.
The test set should be used to see how well your model performs on unseen data.
Even for the test set, we are providing the ground truth for each passenger, so that you can compute the required deliverables yourself.
But it is your job to predict these outcomes also.
For each passenger in the test set, use the model you trained to predict whether or not they survived the sinking of the Titanic.
Variable Notes pclass: A proxy for socio-economic status (SES)
1st = Upper
2nd = Middle
3rd = Lower
age: Age is fractional if less than 1. If the age is estimated, is it in the form of xx.5
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.
