Learning from Observations Chapter 18 Section 1 – 3.
Classification: Decision Trees, and Naïve Bayes etc. March 17, 2010 Adapted from Chapters 4 and 5 of the book Introduction to Data Mining by Tan, Steinbach,
1 Data Mining Lecture 3: Decision Trees. 2 Classification: Definition l Given a collection of records (training set ) –Each record contains a set of attributes,
Modul 6: Classification. 2 Classification: Definition Given a collection of records (training set ) Each record contains a set of attributes, one of.
Classification. 2 Classification: Definition Given a collection of records (training set ) Each record contains a set of attributes, one of the attributes.
Chapter 4 Classification. 2 Classification: Definition Given a collection of records (training set ) –Each record contains a set of attributes, one of.
Classification: Definition Given a collection of records (training set ) –Each record contains a set of attributes, one of the attributes is the class.
Classification: Basic Concepts, Decision Trees. Classification: Definition l Given a collection of records (training set ) –Each record contains a set.
Data Mining Classification:
