invalid shape as output when i fit the model with xgboost

Question

I am trying to predict data on XGBRegressor but when i fit the model it give me value error of invalid shape.

from xgboost import XGBRegressor

my_model = XGBRegressor() my_model.fit(X_train,y_train)

ValueError: Invalid shape: (4074, 5) for label

here I am using the same data and same model https://www.kaggle.com/alexisbcook/xgboost — Sajjad Ali, Dec 04 '21 at 12:40

score 1 · Answer 1 · answered Dec 04 '21 at 12:36

1

If you want to have multiple outputs then use MultiOutputRegressor, as described here, otherwise y_train must have only 1 dimension.

answered Dec 04 '21 at 12:36

Bence

I am doing kaggle exercise https://www.kaggle.com/alexisbcook/xgboost here it doesn't seem using y_train as 1 dimension – Sajjad Ali Dec 04 '21 at 12:38
yes they are `y = data.Price`, y is just a number – lejlot Dec 04 '21 at 13:07
I use the same target as y = data.Price but giving me error don't know as i checked several time giving me headach – Sajjad Ali Dec 04 '21 at 13:22

1 Answers1