data-mining-project

Yijun Zhao
Data Mining
12/6/19
Made by Josh Choi, Helen Dempsey, Ben Vecchio, Claudia Westby

About

The objective of this project is the following:

Prediction task is to determine whether a person makes over 50K a year. You should use census-income.data to train your classifier and use census-income.test to evaluate the performance of your learning algorithm.

Our algorithm manages the following inconsistencies:

– Handling imbalanced dataset (aka different amounts of positive and negative labels).
– Proper imputation methods for missing values.
– Different treatment of various type of features: continuous, discrete, categorical, etc.

Project Architecture

•
└── income_classifier.py
└── data
    └── census-income.data.csv
    └── census-income.test.csv
    └── census-income.names.csv.txt

Build Requirements

Latest version of Python.

Run Instructions

1. cd to the root directory .
2. Ensure all datasets are in the same folder.
3. Run the following command:

python income_classifier.py