LogisticRegression_demo

from numpy import loadtxt,where
from pylab import scatter,show,legend,xlabel,ylabel

#read the data
data = loadtxt('F:/书籍/第03阶段-算法基础提高篇-3-BAT机器学习回归神经网络-21课(10G,2016年8月更新)/(05)回归分析与工程应用/课件和数据及代码/data1.txt',delimiter=',')

X=data[:,0:2]
y=data[:,2]

pos=where(y==1)
neg=where(y==0)
scatter(X[pos,0],X[pos,1],marker='o',c='b')
scatter(X[neg,0],X[neg,1],marker='x',c='r')
xlabel('Feature1/Exam 1 score')
ylabel('Feature2/Exam 2 score')
legend(['Fail','Pass'])
show()