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train a lightgbm model with Home Credit data then use shap to illustrate impact of every data feature.

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基于lightgbm,机器学习解释利器:SHAP实战

使用kaggle竞赛Home Credit Default Risk数据,训练lightgbm模型,据此介绍shap包的常规使用方法,并选择了几个样本进行是实战分析。

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train a lightgbm model with Home Credit data then use shap to illustrate impact of every data feature.

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