An AI startup is developing a regression model to predict energy consumption in smart homes based on numerous environmental and usage features. To enhance model simplicity and interpretability, L1 regularization was incorporated. However, preliminary testing indicates the model is underfitting, leading to poor predictions. Which two adjustments could potentially improve the model's accuracy in this scenario? (SELECT TWO)