When predicting with XGBoost on python:
y_pred = regressor.predict(X_test)
using the following sample:
array([[14215171477565733550]], dtype=uint64)
I get this error:
ValueError: feature_names mismatch: ['0'] ['f0']
expected 0 in input data
training data did not have the following fields: f0
Any clue?