The WebGenre Blog
The power of genre applied to digital information: Genre Analysis, Text Analytics & more

Main menu

Skip to content
featured, lectures

Lecture 3a: Basic Concepts of Machine Learning – Induction & Evaluation (ML4LT 2015)

by Marina Santini • 11 November, 2015 • 0 Comments

Test Options - Weka

Lecture 3a: Induction pipeline. Performance evaluation.

Lecture 3: Basic Concepts of Machine Learning – Induction & Evaluation from Marina Santini
  • delicious Bookmark on Delicious
  • facebook Recommend on Facebook
  • linkedin Share on Linkedin
  • twitter Tweet about it
  • rss Subscribe to the comments on this post

Tags: Accuracy Confusion matrix Crossvalidation development set f-measure Hyperparameters induction Induction pipeline Leave one out Parameters precision recall Stratification test set training set

Post navigation

← Lecture 2: Understanding and Preprocessing Data (ML4LT 2015)
Lecture 3b: Decision Trees (Part 1) (ML4LT) →

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

CAPTCHA
Refresh

*

Meta

  • Log in

Copyright © 2022 The WebGenre Blog. All Rights Reserved. The Magazine Basic Theme by bavotasan.com.

  • See what I share See what I share
  • Like our Facebook page Like our Facebook page
  • Connect with me Connect with me
  • RSS RSS
  • Tweet with me Tweet with me