ML4EA

Part 2 · Chapter 7

Supervised Learning: Classification

Frames categorical prediction and compares interpretable, geometric, and instance-based classifiers for engineering decisions.

Chapter map

What this chapter develops

  • Classification formulation
  • Logistic regression
  • Decision trees
  • Support vector machines
  • K-nearest neighbors
  • Evaluation metrics

Engineering practice

Application and Diamond Examples

  1. 01

    Mechanical failure status with logistic regression

  2. 02

    Concrete strength classes with decision trees

  3. 03

    Rotating equipment fault classification with SVM

  4. 04

    Air quality monitoring with K-NN

Companion materials

Portal resources

Chapter catalogFind this chapter’s indexed examples and related topics.Application Example catalogOpen 4 validated notebooks with a verified portal account.AE datasetsReview dataset sources and generation details for this chapter's Application Examples.DiscussionAsk chapter-specific questions and compare engineering interpretations with other readers.