You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
from sklearn.linear_model import LinearRegression
lin_reg = LinearRegression()
lin_reg.fit(housing_prepared, housing_labels) # fit the prepared data and the corresponding labels
some_data = housing.iloc[:5]
some_labels = housing_labels.iloc[:5]
some_data_prepared = full_pipeline.transform(some_data)
print("Predictions:", lin_reg.predict(some_data_prepared)) # Predictions: [ 210644.6045 317768.8069 210956.4333 59218.9888 189747.5584]
print("Labels:", list(some_labels)) # Labels: [286600.0, 340600.0, 196900.0, 46300.0, 254500.0]
Is it normal for the same set of data to get such a big difference in prediction result ? Or is there anything possible mistake i've made to get this happened? Thanks for the help.
The text was updated successfully, but these errors were encountered:
Hi all, I started doing the ml project in chapter 2 in these 1-2 months.
I checked my code for serveral times and they are more or less the same as this repo.
I get the following results
when I run the below code.
Is it normal for the same set of data to get such a big difference in prediction result ? Or is there anything possible mistake i've made to get this happened? Thanks for the help.
The text was updated successfully, but these errors were encountered: