SurrajKumar2000 / Fake-Profile-Detection

This repository is for detection of fake profiles in online social networks by the use of ML prediction techniques such as Random Forest, Neural Network and Support Vector Machine(SVM).

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Fake-Profile-Detection

A model to detect fake user profiles using only the visible data as mentioned. This is a project where training models

We have trained them in SVM, RandomForest and a 3-layered ANN which gave an accurary of 93%-98% on the test set.

REQUIREMENTS:

        matplotlib==1.4.3
        pandas==0.16.2
        pybrain==0.31
        numpy==1.9.2
        ipython
        sexmachine==0.1.1
        pip==6.0.8
        scikit-learn==0.17

485021_1_En_3_Fig1_HTML

CONCLUSION:

Among all other classifier methods the RandomForest classifier method gives greater accuracy.

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This repository is for detection of fake profiles in online social networks by the use of ML prediction techniques such as Random Forest, Neural Network and Support Vector Machine(SVM).


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