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机器学习预测模型，分别用逻辑回归，决策树，随机森林，神经网络，XGBOOST和支持向量机算法建模，交叉验证，并选出AUC最优的模型。特征工程优化后，AUC值达到0.8259

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
README.md		README.md
case2_testing.csv		case2_testing.csv
case2_training.csv		case2_training.csv
更新1-XGBOOST.ipynb		更新1-XGBOOST.ipynb
更新2-神经网络.ipynb		更新2-神经网络.ipynb
预测房屋租出的概率.ipynb		预测房屋租出的概率.ipynb

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Predict-the-purchase-probability-of-a-room

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机器学习预测模型，分别用逻辑回归，决策树，随机森林，神经网络，XGBOOST和支持向量机算法建模，交叉验证，并选出AUC最优的模型。特征工程优化后，AUC值达到0.8259

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