Hands-On Exploratory Data Analysis with Python

Best model selection and evaluation

Model selection is an essential step in the machine learning algorithm workflow. However, model selection carries different meanings in different contexts:

• Context 1: In the machine learning workflow context, model selection is the process of selecting the best machine learning algorithms, such as logistic regression, SVM, decision tree, Random Forest classifier, and so on.
• Context 2: Similarly, the model selection phase also refers to the process of choosing between different hyperparameters for any selected machine learning algorithm.

In general, model selection is the method of choosing one best machine learning algorithm from a list of possible candidate algorithms for a given training dataset. ...