XGBOOST应用及调参示例

该示例所用的数据可从该链接下载，提取码为3y90，数据说明可参考该网页。该示例的“模型调参”这一部分引用了这篇博客的步骤。

 

数据前处理

1. 导入数据

   import pandas as pd
   import numpy as np
   from sklearn.cross_validation import train_test_split
   ### Load data
   ### Split the data to train and test sets
   data = pd.read_csv('data/loan/Train.csv', encoding = "ISO-8859-1")
   train, test = train_test_split(data,train_size=0.7,random_state=123,stratify=data['Disbursed'])
   ### Check number of nulls in each feature column
   nulls_per_column = train.isnull().sum()
   print(nulls_per_column)

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