which metric is better for boosting methods

Question

I work on a dataset of 300 000 samples and I try to make a comparison between logistic regression (with gradients descent) and a LightBoost for binary classification in order to choose the better one.

I want to know in this case which metric should I use it and WHY?

• Accuracy ??

• AUC Test value ??

• RMSE ??

• LogLoss ??