📧 Spam Filter Trainer

Train a spam classifier using logistic regression!

🎮 Training Controls

Training Progress: 0/20

Emails Classified:0

Training Accuracy:0%

Spam Detected:0

Ham Detected:0

📊 Spam Indicators:

💡 How It Works:

Phase 1: Train by labeling emails
Phase 2: Test the classifier

The model learns which words indicate spam vs ham (legitimate email).

Phase 1: Training

Label 20 emails to train the classifier

From:

[email protected]

Date:

Today

Email Subject

Click "Start Training" to begin!

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Precision

0%

Recall

📚 Logistic Regression in Email Filtering

Logistic regression is a binary classification algorithm perfect for spam detection. It learns to assign probabilities (0-1) based on features like word frequency, sender patterns, and content structure. The sigmoid function σ(z) = 1/(1+e^-z) maps any input to a probability, with a decision boundary at 0.5. This is how your email provider protects you from millions of spam messages daily!