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Evasive PDF Samples

Given a dataset of Evasive PDF samples with 21 features containing 500,000 generated evasive samples, 450,000 are malicious and 50,000 are benign PDFs.

The goal is to predict which of them are malicious, which are labeled as (1) through the feature named 'class'.

Features

Accuracy

Confusion Matrix

How to run

Open the EvasivePDFSamples.ipynb file in Jupyter Notebook and run the cells. The time to run everything is about 15 minutes.

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