CPS 803

classification

task of assigning objects to one of several predefined categories also known as class (yes/no, warm/cold)

regression

task of assigning objects to continuous values(250 - 300, 3.14)

data set

collection of data objects

object

instance, record , point ,case ,sample ,entity

attribute

property or characteristic of an object (eye colour of a person, temperature)

target concept

function to be learned. inference of the concept from the training instances so that it maps outputs with inputs

training set

set of instances that are used to figure out the target concept. includes input and output pairs

candidtae

concept that might be the target concept

test set

set of instances that are used to evaluate the candidate concept

collection of instances

each instance is characterized by a tuple(x,y) where x is the attribute set and y is the class set

examples of classification

identifying tumor cells. the attribute set is features extracted from medical images. the class label is malignant or benign