运用sklearn学习库实现逻辑回归实例
1.导入库并建立训练模型
2.运用模型预测,并打印结果
3.python源代码:
# coding: utf-8
# In[1]:
from sklearn import linear_model
# In[6]:
x = [[20,3],
[23,7],
[31,10],
[42,13],
[50,7],
[60,5]]
# In[7]:
y = [0,1,1,1,0,0]
# In[8]:
lr = linear_model.LogisticRegression()
# In[9]:
lr.fit(x,y)
# In[10]:
testX = [[28,8]]
# In[12]:
label = lr.predict(testX)
# In[13]:
print(label)
# In[14]:
print("predicted label =",label)
# In[15]:
prob = lr.predict_proba(testX)
# In[16]:
print("probability =",prob)
# In[ ]: