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@@ -17,7 +17,7 @@ Request data, please contact me by e-mail: brainiac_tra09@qq.com
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- DNN(五层): 0.8764842415303271 | Score: 0.8323
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3. 总结:人工神经网络效果不如XGB,通过损失函数绘图发现有过拟合现象,验证集效果远不及训练集。
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- [x] Version 3: CMTR_CHURN_PR_V3 TabNet 使用无监督模型进行预训练
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- [x] Version 3: CMTR_CHURN_PR_V3_ TabNet 使用无监督模型进行预训练
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- 遇到的问题:AUC和准确率提升依旧很难,模型效果比较差。AUC: 0.6511318268787747 | Score: 0.74
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- 解决思路:使用PCA主成分分析法,进行特征降维, 准确率依旧下降,出现特征工程无效的情况,原因未知。AUC: 0.5801404503216607
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