Binary Classification.py

#!/usr/bin/env python
# coding: utf-8

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import pandas as pd
from matplotlib import pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')


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df = pd.read_csv("insurance_data.csv")
df.head()


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plt.scatter(df.age,df.bought_insurance)


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df.shape


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from sklearn.model_selection import train_test_split


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x_train, x_test, y_train, y_test = train_test_split(df[["age"]],df.bought_insurance,test_size=0.1)


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x_test


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x_train


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from sklearn.linear_model import LogisticRegression


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model = LogisticRegression()


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model.fit(x_train,y_train)


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model.predict(x_test)


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model.score(x_test,y_test)


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