The output of print(reg.coef_) will display the coefficients of the regression model reg. These coefficients represent the weights assigned to each feature in the model, indicating the relationship between the features and the target variable.
If reg is a linear regression model, the output will typically be a NumPy array or a list of numerical values, where each value corresponds to a feature in the input data. For example, if you have three features, the output might look like this:
[0.5, -1.2, 0.3]This means that the first feature has a coefficient of 0.5, the second feature has a coefficient of -1.2, and the third feature has a coefficient of 0.3. The exact values will depend on the data used to train the model.
