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        "author": "Xinyu Zhang, Yijia Chen, Xiaochi Ge",
        "author_email": "mandy_zhang512@gwu.edu",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# DATS6450-final-project\nThis package contains different machine learning models for prediction of zoo animals based on a given set of features. \n\nMachine Learning Models Used: \n* Decision Tree \n* Random Forest\n* Support Vector Machine\n\n## Installation\nYou can install `animal_classification` following the below steps: \n\n`# git clone https://github.com/yijiaceline/CSF-project.git`\n\n`# cd CSF-project`\n\n`# python3 setup.py install`\n\n## Usage\nRefer to example.py\n\n## Example Output \n`Fitting and predicting using Decision Tree Model:`  \n`Accuracy:0.9523809523809523`  \n`Fitting and predicting using Random Forest Model:`  \n`Accuracy: 1.0`  \n`Fitting and predicting using Support Vector Machine:`  \n`Accuracy: 1.0`  \n`Fitting and predicting using KNN:`  \n`Accuracy: 0.9047619047619048`  \n\n## License\nThe MIT License. Refer to LICENSE. \n\n\n",
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        "keywords": "decision tree,classification,multiclass,zoo,animals",
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        "name": "zoo-animal-classification",
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