Logit.zip_logistic 回归_logistic分析_logistic回归_logit matlab_matlab中

function [Accuracy,Result]=Logit(Train,Test) A=xlsread('t-1_2.xls'); [a,b]=size(A); for j=1:a A=B; Test=A(a,:); A(a,:)=[]; Train=A; %生成训练样本 [m,n]=size(Train); TrainData=Train(:,1:n-1); TrainLabel=Train(:,n); [m,n]=size(Test); TestData=Test(:,1:n-1); TestLabel=Test(:,n); b=glmfit(TrainData,TrainLabel,'binomial','logit');% 从训练样本中产生预测用的Logit模型 % 遍历测试用的独立样本进行预测 rightno=0; for i = 1:m data=TestData(i,:); p=glmval(b,data,'logit'); Result(i,1)=Test(i,n); if p>= 0.5 Result(i,2)=1; else Result(i,2)=0; end if Result(i,1)==Result(i,2) rightno=rightno+1; end end end Accuracy=rightno/a;