Executed this piece of code as suggested , but unable to complete the handson … any suggestion please?
from sklearn.datasets
import load_boston
import pandas as pd
boston = load_boston()
dataset = pd.DataFrame(data=boston.data, columns=boston.feature_names)
dataset[‘target’] = boston.target
print(dataset.head())
X = dataset[“RM”]
Y = dataset[“target”]
import statsmodels.api as sm
X= sm.add_constant(X)
statsModel =sm.OLS(Y,X)
fittedModel = statsModel.fit()
print (fittedModel.summary())
r_squared = fittedModel.rsquared
with open(“output.txt”, “w”) as text_file:
text_file.write(“rsquared= %f\n” % r_squared)