I have a dataset with responses to a question, where the options are: 1. Never, 2. Rarely, 3. Sometimes, 4. Often, 5. Always. I want to evaluate this dataset, create a machine learning model, and predict the score based on user responses. Is this possible? Additionally, can the model predict the score from user responses in a chatbot? Could you help with this?

I have tried these steps
Convert categorical responses into numerical using one-hot encoding.
Split the dataset into training and testing sets.
Train a Random Forest classifier.
Evaluate the model’s accuracy.
Provide a function to predict scores based on user responses, which can be integrated into a chatbot.