[SOLVED] CS156-Homework 3 Classification

Description

The sinking of the Titanic is one of the most infamous shipwrecks in history.

On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew.

While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others.

In this assignment, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (i.e., name, age, gender, socio-economic class, etc.).

Overview

The dataset called Data-Hw3.csv consists of 891 entries. This dataset needs to be split into two groups using 25% data for Test set

The training set should be used to build your machine learning models. 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. For each passenger in the test set, use the model you trained to predict whether or not they survived the sinking of the Titanic.

The dataset for this project contains information about the passengers in the Titanic and if they survived the historic accident. There are 8 column headers:

1. passenger ID An identifier for the passenger
2. name Name of the passenger
3. sex Male or Female
4. age Age in years
5. sibsp # of siblings / spouses aboard the Titanic
6. parch # of parents / children aboard the Titanic
7. pclass Ticket class. 1 = 1^st, 2 = 2^nd,  3 = 3^rd
8. survived 0 = “no”, 1 = “yes”