Lecture No. 4
Ravi Gupta
AU-KBC Research Centre,
MIT Campus, Anna University
Date: 12.3.2008

Today’s Agenda
• Instance Based Learning
• Measuring Credibility of Classifier
• Discussions on Case Study
• WEKA Demo

Instance-Based Learning
Learning in Instance-based learning algorithms consists of simply
storing the presented training data and find a set of similar related
instances, retrieved from memory (training set) and used to classify
the new query instance.

Instance-Based Learning
Query Instance Target Class
Training
Instances
Present in memory

Previous Learning Method
Training Model / Target Class
Instances Hypothesis
Query Instance