Assessing Model Performance for Classification Models
Classification models are used for predicting which class a group of features will fall under. You learned to create binary classification models in Chapter 3, Binary Classification, and multi-class classification models in Chapter 4, Multiclass Classification with RandomForest.
When you consider a classification model, you might start to ask yourself how accurate the model is. But how do you evaluate accuracy?
You need to create a classification model before you can start assessing it.
Exercise 6.05: Creating a Classification Model for Computing Evaluation Metrics
In this exercise, you will create a classification model that you will make use of later on for model assessment.
You will make use of the cars dataset from the UCI Machine Learning Repository. You will use this dataset to classify cars as either acceptable or unacceptable based on the following categorical features:
buying
: the purchase price...