Lecture No. 4
AU-KBC Research Centre,
MIT Campus, Anna University
• Instance Based Learning
• Measuring Credibility of Classifier
• Discussions on Case Study
• WEKA Demo
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.
Query Instance Target Class
Present in memory
Previous Learning Method
Training Model / Target Class
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