spam-email-classifier

Spam Email Classifier (GRU + LSTM)

This model predicts whether an email is Spam or Non-Spam.

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Model

• Architecture: Embedding + GRU (150)+GRU(125) + Dense
• Trained on: Labeled spam and non-spam emails dataset

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Input

• Raw text email (string)
• Convert to integer sequences using the same tokenizer
• Pad sequences to max_len

NOTE:

This model work more finely on long email (100-1000 word).

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Output

• Probability between 0–1
• Closer to 1 → Spam
• Closer to 0 → Non-Spam

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