Selecting the Best Model for Boston Housing Dataset using Cross-Validation in Python
3 min readFeb 28, 2023
Machine learning is a rapidly evolving field that provides powerful tools for data analysis and prediction. One of the key tasks in machine learning is model selection, which involves choosing the best model from a set of candidate models. In this article, we will explore how to use cross-validation to select the best model for the Boston Housing dataset, a commonly used dataset in machine learning.
The Boston Housing dataset contains information about housing prices in Boston and various…
