I have only two independent columns in my data, that too they are categorical with more than 30 unique categories in each column (cuisine and location) and I am trying to build model to predict the price which is continuous.
I applied one hot encoding but my r2_score is in negative (<0). what should I do to increase my model accuracy? I can't apply PCA also since it is just binary columns, and no need to do scaling also. Please suggest me some hyper parameter to deal with this.
