Python In Practice - 15 Projects to Master Python - Training the Model

The video tutorial guides viewers through creating a decision tree classifier model using a skillern tree. It covers training the model with a dataset, predicting preferences based on age and gender, and handling errors when input data is not in the expected format. The tutorial also explains encoding and transforming data for model input, using inverse transform to decode numeric values, and preparing for the next lesson on creating user prompts for flavor prediction.

Describe how the model predicts the flavor a person likes based on age and gender.

What happens if you try to use a numeric value that is not in the training data set for inverse transformation?