LOGISTIC REGRESSION
will click the ad or not
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import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')
# In[2]:
data=pd.read_csv("advertising.csv")
# In[3]:
data.head()
# In[4]:
data.info()
# In[42]:
sns.set_style("whitegrid")
data["Age"].hist(bins=30)
sns.set_style("whitegrid")
sns.jointplot(x="Area Income",y="Age",data=data)
# In[64]:
sns.jointplot(x='Age',y='Daily Time Spent on Site',data=data,color='red',kind='kde');
# # Logistic Regression
X = data[['Daily Time Spent on Site', 'Age', 'Area Income','Daily Internet Usage', 'Male']]
# In[52]:
y=data["Clicked on Ad"]
# In[76]:
from sklearn.model_selection import train_test_split
X_train,X_test,y_train,y_test=train_test_split(X,y, test_size=0.3, random_state=100)
# In[77]:
from sklearn.linear_model import LogisticRegression
# In[78]:
lm=LogisticRegression()
lm.fit(X_train,y_train)
# In[79]:
prediction=lm.predict(X_test)
# In[80]:
from sklearn.metrics import classification_report
print(classification_report(y_test,prediction))
print(confusion_matrix(y_test,prediction))
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