Model Evaluation for Data Science Algorithms
1. Regression
Regression falls under Supervised learning where output variable is a continuous variable. Let’s explore model evaluation metrics used in regression.
2. Classification
Classification models falls under Supervised learning where output variable is a categorical variable. Below are the evaluation metrics used in classification algorithms.
3. Clustering
Clustering models falls under unsupervised learning. There are no labels in clustering. Models are evaluated based on some similarity or dissimilarity measure such as the distance between cluster points.