https://github.com/ashaw1270/samo3
Science Score: 13.0%
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Low similarity (6.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: ashaw1270
- Language: Python
- Default Branch: main
- Size: 1020 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
SAMO 3
This is a deep-learning neural network written in Python using the Keras library that predicts if a set of data comes from a group of black or white people.
Implementation
The neural network consists of an input layer of 2 neurons with a sigmoid activation, one hidden layer of 128 neurons also with a sigmoid activation, and an output layer of 2 neurons (black or white) with a softmax activation. The model compiles with an Adam optimizer and a binary cross-entropy loss function and trains over 10 epochs.
Data
The data is split up into four .csv files. Each file is data for either training or testing and either x (input) or y (output). The data for the x values consists of two categories: average household income at age 35 (first column) and incarceration rate (second column), each being that of a certain "tract", as defined by the US Census. It is separated by data from all the black and all the white residents of that specific tract, ignoring people of other or multiple races. There are 88,570 data tuples for training and 10,000 data tuples for testing.
The data was taken from the opportunityatlas.org data set which can be found here.
Results
The learning model was able to predict whether a set of data came from a group of black or white people with 88% accuracy.
Owner
- Login: ashaw1270
- Kind: user
- Repositories: 1
- Profile: https://github.com/ashaw1270