A、 短期贷款
B、 信用贷款
C、 担保贷款
D、 中长期贷款
答案：BC
A、 短期贷款
B、 信用贷款
C、 担保贷款
D、 中长期贷款
答案：BC
A. 协方差
B. 相关系数
C. 方差
D. 四分位数
A. 特征设计
B. 线索排查
C. 模型评估
D. 模型优化
A. Series
B. DataFrame
C. Index
D. NumPy
解析：KS值是测量好坏用户分布的最大差距，其差值越大越大表示模型的区分能力越强，因此KS是测量模型区分度指标。
A. f = open ("test.txt", "w"))
B. f = open ("test.txt", "write")
C. f = open( "write", "test.txt")
D. f = open("w","test. txt")
A. select语句
B. create语句
C. insert语句
D. drop语句
A. from pandas import xgboost
B. from numpy import svm
C. from sklearn import svm
D. import xgboost as xgb
A. SELECT cust_name FROM Customers WHERE cust_state IN (＇IL＇,＇IN＇,＇MI＇ ) UNION SELECT cust_name FROM Customers WHERE cust_name = ＇Fun4All＇;
B. SELECT cust_name FROM Customers WHERE cust_state IN (＇IL＇,＇IN＇,＇MI＇ ) UNION SELECT cust_contact FROM Customers WHERE cust_name = ＇Fun4All＇;
C. SELECT * FROM Customers WHERE cust_state IN (＇IL＇,＇IN＇,＇MI＇ ) UNION SELECT * FROM Customers WHERE cust_name = ＇Fun4All＇;
D. SELECT * FROM Customers WHERE cust_state IN (＇IL＇,＇IN＇,＇MI＇ ) UNION SELECT cust_name FROM Customers WHERE cust_name = ＇Fun4All＇;
A. Union
B. Substract
C. Map
D. FlatMap
