在休克治疗中,应用血管扩张药物前应注意
A.控制酸中毒
B.控制感染
C.控制原发病
D.补足血容量
E.放置正确体位
A.控制酸中毒
B.控制感染
C.控制原发病
D.补足血容量
E.放置正确体位
第1题
相关系数(coefficient of product-moment correlation)
第3题
下面的一段python程序的目的是利用皮尔逊相关系数进行iris数据集特征选择 import numpy as np from scipy.stats import pearsonr from sklearn import datasets iris = datasets.load_iris() print ("Pearson's correlation coefficient between column #1 and target column", pearsonr(iris.data[:,0], iris.target )) print ("Pearson's correlation coefficient between column #2 and target column", pearsonr(iris.data[:,1], iris.target )) print ("Pearson's correlation coefficient between column #3 and target column", pearsonr(iris.data[:,2], iris.target )) print ("Pearson's correlation coefficient between column #4 and target column", pearsonr(iris.data[:,3], iris.target )) 其输出结果为: ("Pearson's correlation coefficient between column #1 and target column", (0.7825612318100814, 2.890478352614054e-32)) ("Pearson's correlation coefficient between column #2 and target column", (-0.4194462002600275, 9.159984972550002e-08)) ("Pearson's correlation coefficient between column #3 and target column", (0.9490425448523336, 4.1554775794971695e-76)) ("Pearson's correlation coefficient between column #4 and target column", (0.9564638238016173, 4.775002368756619e-81)) 则如果去掉一个特征,应该选择哪一个特征去掉?
A、#1
B、#2
C、#3
D、#4
第4题
A、Sensitivity, specificity and positive likelihood ratio
B、Correlation coefficient, correct index and likelihood ratio
C、Correlation coefficient, coefficient of variation and Kappa value
D、Predicted value, Youden index and coincidence rate
第5题
第6题
第7题
A correlation coefficient of+0 means two stocks are______.
A.perfectly positively correlated
B.opposite the market beta
C.equal to the market beta
D.perfectly negatively correlated
第8题
第9题
为了保护您的账号安全,请在“上学吧”公众号进行验证,点击“官网服务”-“账号验证”后输入验证码“”完成验证,验证成功后方可继续查看答案!