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mousecapture's Introduction

MouseCapture

Project of Machine Learning Class by Yang yang,SJTU

Description

Welcome to choose our project.

This project is aimed to automatically tell between human and machine mouse trajectory with large scale of labeled data based on machine learning methods.

You can find the general description of MouseCapture project on http://bdc.saikr.com/c/cql/34541

You can also find a slide named 'General Description of CAPTCHA' in this folder.

Contact me at any time if you have any question: Lanqing Yang Mail: [email protected] Tel: 18200462008

Files

data folder contains train and test data

-1- dsjtzs_txfz_training.txt train data (3000 samples)

-2- dsjtzs_txfz_test1.txt one part of test data

-3- dsjtzs_txfz_testB.txt another part of test data

src folder contains useful examples to explore and analyse the data

-1- data_explore.py example to visualize the data

-2- GBDT.py example to use Gradient Boosting Decision Tree to do the project

mousecapture's People

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