Which of the following are accurate interpretations of the weights used in a linear classifier. Select all that apply.

Group of answer choices

Weights with a large magnitude indicate a high degree of correlation between the specific feature and the class label.

Positive weights indicate that a feature has a positive correlation with the class label.

Weights with an L$2-$norm under $1\mathrm{.}0$ are considered "simple".

Negative weights indicate that a feature has no correlation with the class label.