1. Technology stack
Frontend: html js css jquery layui bootstrap
Backend: python language django framework sqlite database
Algorithm: Naive Bayes
Database: sqlite [Dataset 14,000]
2. Screenshot of the project
3. Project Description
Simple spam classification written using Naive Bayes;
The data set used comes from the github project; the classification accuracy is about 95%;
The normal folder contains healthy emails, about 7,000;
There are spam emails in the spam folder, about 7000 copies;
test is a test set, about 400 pieces, numbered 1-200 are healthy emails, 7801-8000 are spam emails;
Project Structure Description
|-- Items
|-- db.sqlite3 database related important If you want to see the data, you can open it with navicat
|-- requirements.txt The project depends on the library, which can be understood as part of the technology stack and the like
|-- Operation instructions.txt How to run
|-- Configuration related commands.txt is useless
|-- FirstByesSpam Naive Bayesian Algorithm Training and Prediction
|-- app main code folder
| |-- models.py Django's model is a bit important if you don't understand Baidu
| |-- views.py backend main code key points key points key points
|-- meteorological
| |-- settings.py configuration file
| |-- urls.py routing This is a bit important
|-- static static folder js css img these files
|-- templates template You can also understand it as a web page, but it is combined with django after processing the data to form the final web page
Others are useless, you don’t need to open them, and you don’t need to look at them
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