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This project forked from aggie-coding-club/f23-ml-spam-filter-exercise

1.0 0.0 0.0 3.05 MB

Submission for the ACC Spam Filter ML workshop

Python 100.00%

email-ml-spam-filter's Introduction

email spam filter

  • Description: Exercise for the spam filter workshop.
  • Dependencies: Run pip install -r reqs.txt to install all necessary dependencies.
  • Execution:
    1. Run buildvocab.py
    2. Followed by createfreqvec.py

Outputs an accuracy report for the trained model:

(5728, 37441) [[0. 0. 0. ... 0. 0. 0.] [0. 0. 0. ... 0. 0. 0.] [0. 0. 0. ... 0. 0. 0.] ... [0. 0. 0. ... 0. 0. 0.] [0. 0. 0. ... 0. 0. 0.] [0. 0. 0. ... 0. 0. 0.]] Accuracy: 0.9895287958115183 Classification Report: precision recall f1-score support

       0       1.00      0.99      0.99       856
       1       0.97      0.99      0.98       290

accuracy                           0.99      1146

macro avg 0.98 0.99 0.99 1146 weighted avg 0.99 0.99 0.99 1146

email-ml-spam-filter's People

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