ranjeetds/UCI-Spambase-spam-or-not-spam-detection

A simple Logistic regression classification to identify whether an email is spam or not spam built using python and scikit learn

Python

UCI-Spambase-spam-or-not-spam-detection

A simple Logistic regression classification to identify whether email is spam or not spam built using python and scikit learn

Dataset used -

UCI Spambase dataset [https://archive.ics.uci.edu/ml/datasets/spambase]

Requirements

Install Pandas Numpy and Scikit learn
Python3.X

How to run?

Python3.x spam_detection.py

Results


Cross validation score is: 

[0.93167702 0.90993789 0.9068323  0.9378882  0.94720497 0.92236025
 0.92236025 0.92857143 0.91304348 0.91925466]

Classification results without any parameter tuning or CV are

              precision    recall  f1-score   support

           0       0.97      0.92      0.94       883
           1       0.87      0.94      0.91       498

    accuracy                           0.93      1381
   macro avg       0.92      0.93      0.92      1381
weighted avg       0.93      0.93      0.93      1381