Concerning Classification algorithms, what are the characteristics of Logistic Regression?The training data is the model, fitting is fast, prediction is fast, and the decision boundary is flexible

The model is just parameters, fitting can be slow, prediction is fast, and the decision boundary is simple and less flexible

The model is just parameters, fitting is fast, prediction is fast, and the decision boundary is flexible

The training data is the model, fitting is fast, predicting class for new records can be slow, and the decision boundary is flexible