Screen Link:
https://app.dataquest.io/m/154/cross-validation/2/holdout-validation
My Code:
from sklearn.neighbors import KNeighborsRegressor
from sklearn.metrics import mean_squared_error
train_one = split_one
test_one = split_two
train_two = split_two
test_two = split_one
knn=KNeighborsRegressor()
knn.fit(train_one[['accommodates']],train_one['price'])
test_one['predicted_price']=knn.predict(test_one[['accommodates']])
mse_one=mean_squared_error(test_one['price'],test_one['predicted_price'])
iteration_one_rmse=mse_one**0.5
knn.fit(train_two[['accommodates']],train_two['price'])
test_two['predicted_price']=knn.predict(test_two[['accommodates']])
mse_two=mean_squared_error(test_two['price'],test_two['predicted_price'])
iteration_two_rmse=mse_one**0.5
avg_rmse=np.mean([iteration_one_rmse,iteration_two_rmse])
What I expected to happen: I expected that average rmse is right.
What actually happened: both first and second rmse are 131 point something,I check my code with answer given , I think my code is right.
avg_rmse:131.70294747240013
