Machine Learning with SAS Viya

Chapter 5: Discovery: Selecting an Algorithm

Introduction

Select an Algorithm

What Is the Size and Nature of Your Data?

What Are You Trying to Achieve with Your Model?

What Is the Required Accuracy?

What Is the Time Available to Train Your Model?

What Level of Interpretability Do You Need?

Do You Have Automatic Hypertuning Capability?

Classification and Regression

K-Nearest Neighbors

Model Studio: The Clustering Node

Regression

Logistic Regression

Quiz

Introduction

Now that you have ensured that you have enough appropriate data, massaged the data into a form suitable for modeling, identified key features to include in your model, and established how the model is to be used, you are ready to use powerful machine learning algorithms to build predictive ...