PPT-Classification with Decision Trees and Rules

Copyright Andrew W Moore Density Estimation looking ahead Compare it against the two other major kinds of models Regressor Prediction of realvalued output Input Attributes Density Estimator. Sedative hypnotics depress or slow down the bodys functions These drugs are commonly referred to as tranquilizers sleeping pills or sedatives They were originally developed to treat medical conditions such as epileptic seizures as well as to treat a Classification. Decision-tree classification. What is classification?. What is classification?. Classification. is the task of . learning a target function . f. that maps attribute set . x. to one of the predefined class labels . Chris Franck. LISA Short Course. March 26, 2013. Outline. Overview of LISA. Overview of CART. Classification tree description. Examples – iris and skull data.. Regression tree description. Examples – simulated and car data. Battiti. , Mauro . Brunato. .. The LION Way: Machine Learning . plus.  Intelligent Optimization. .. LIONlab. , University of Trento, Italy, . Apr 2015. http://intelligent-optimization.org/LIONbook. A . decision tree. is a graphical representation of every possible sequence of decision and random outcomes (states of nature) that can occur within a given decision making problem.. A decision tree is composed of a collection of nodes (represented by circles and squares) interconnected by branches (represented by lines).. Decision Tree. Advantages. Fast and easy to implement, Simple to understand. Modular, Re-usable. Can be learned .  . can be constructed dynamically from observations and actions in game, we will discuss this further in a future topic called ‘Learning’). Tandy Warnow. Joint work with . Siavash. . Mirarab. , . Md. S. . Bayzid. , and others. Orangutan. Gorilla. Chimpanzee. Human. From the Tree of the Life Website. ,. . University . of . Arizona. Dates from Lock et al. Nature, 2011. 2. Decision Trees and Decision Tables. Often our problem solutions require decisions to be made according to two or more conditions or combinations of conditions. Decision trees represent such decision as a sequence of steps. Dr. Halimah Alshehri. 1. Introduction to Trees. DEFINITION 1 . A . tree. is a connected undirected graph with no simple circuits.. Because . a tree cannot have a simple circuit. , . a tree cannot contain multiple edges or loops. Sultan Almuhammadi ICS 254: Graphs and Trees 1 Graph & Trees Chapters 10-11 Acknowledgement This is a modified version of Module#22 on Graph Theory by Michael Frank Sultan Almuhammadi ICS 254: Graphs and Trees Mirza Muhammad Waqar Expert/rule based classification 1 Contact: mirza.waqar@seecs.edu.pk Lecture Overview Image classification basics Image and feature spaces Supervised vs Unsupervised classification Decision Trees and Decision Tables 2 Decision Trees and Decision Tables Often our problem solutions require decisions to be made according to two or more conditions or combinations of conditions Decision trees represent such decision as a Decision trees MARIO REGIN What is a decision tree? General purpose prediction and classification mechanism Emerged at the same time as the nascent fields of artificial intelligence and statistical computation www.aaaai.org OAAC 522 v2017