Evaluating a Car based on some popular attributes which could be beneficial in decision making while purchasing a Car, Who do not have enough knowledge about Cars.
Car Evaluation Data Set Download: Data Folder, Data Set Description
Derived from simple hierarchical decision model, this database may be useful for testing constructive induction and structure discovery methods.
Multivariate
Number of Instances: 1728
Area: N/A
Attribute Characteristics: Categorical
Number of Attributes: 6
Date Donated: 1997-06-01
Associated Tasks: Classification
Missing Values? No
Number of Web Hits: 980393
Creator: Marko Bohanec
Car Evaluation Database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX, M. Bohanec, V. Rajkovic: Expert system for decision making. Sistemica 1(1), pp. 145-157, 1990.). The model evaluates cars according to the following concept structure:
CAR car acceptability . PRICE overall price . . buying buying price . . maint price of the maintenance . TECH technical characteristics . . COMFORT comfort . . . doors number of doors . . . persons capacity in terms of persons to carry . . . lug_boot the size of luggage boot . . safety estimated safety of the car
Input attributes are printed in lowercase. Besides the target concept (CAR), the model includes three intermediate concepts: PRICE, TECH, COMFORT. Every concept is in the original model related to its lower level descendants by a set of examples (for these examples sets see [Web Link]).
The Car Evaluation Database contains examples with the structural information removed, i.e., directly relates CAR to the six input attributes: buying, maint, doors, persons, lug_boot, safety.
Because of known underlying concept structure, this database may be particularly useful for testing constructive induction and structure discovery methods.
Attribute Information:
Class Values:
unacc, acc, good, vgood
buying: vhigh, high, med, low. maint: vhigh, high, med, low. doors: 2, 3, 4, 5more. persons: 2, 4, more. lug_boot: small, med, big. safety: low, med, high.
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