逻辑回归---kaggle糖尿病预测实例

逻辑回归—kaggle糖尿病预测

import warnings
warnings.filterwarnings('ignore')#忽略匹配警告
data=np.loadtxt(r"C:\践\pima-indians-diabetes.data.csv",delimiter=",",skiprows=1,dtype=np.float)
data

array([[  6.   , 148.   ,  72.   , ...,   0.627,  50.   ,   1.   ],
       [  1.   ,  85.   ,  66.   , ...,   0.351,  31.   ,   0.   ],
       [  8.   , 183.   ,  64.   , ...,   0.672,  32.   ,   1.   ],
       ...,
       [  5.   , 121.   ,  72.   , ...,   0.245,  30.   ,   0.   ],
       [  1.   , 126.   ,  60.   , ...,   0.349,  47.   ,   1.   ],
       [  1.   ,  93.   ,  70.   , ...,   0.315,  23.   ,   0.   ]])

#分离特征变量和分类变量
X=data[:,:-1]
y=data[:,-1]

#特征标准化
mu=X.mean(axis=0)
std=X.std(axis=0)
X=(X-mu)/std

#添加全1列
x_ones=np.ones<