# Car Evaluation

## Classify Car Evaluation

Source:

Creator:

Marko Bohanec

Donors:

1. Marko Bohanec (marko.bohanec '@' ijs.si
2. Blaz Zupan (blaz.zupan '@' ijs.si)

Data Set Information:

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
. . 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.

Relevant Papers:

M. Bohanec and V. Rajkovic: Knowledge acquisition and explanation for multi-attribute decision making. In 8th Intl Workshop on Expert Systems and their Applications, Avignon, France. pages 59-78, 1988.

B. Zupan, M. Bohanec, I. Bratko, J. Demsar: Machine learning by function decomposition. ICML-97, Nashville, TN. 1997 (to appear)

## Evaluation

The evaluation of this dataset is done using Area Under the ROC curve (AUC).

# Source : http://stats.stackexchange.com/questions/132777/what-does-auc-stand-for-and-what-is-it

## Rules

• ### One account per participant

You cannot sign up from multiple accounts and therefore you cannot submit from multiple accounts.

• ### No private sharing outside teams

Privately sharing code or data outside of teams is not permitted. It's okay to share code if made available to all participants on the forums.

• ### Submission Limits

You may submit a maximum of 5 entries per day.

You may select up to 2 final submissions for judging.

### Specific Understanding

• Use of external data is not permitted. This includes use of pre-trained models.
• Hand-labeling is allowed on the training dataset only. Hand-labeling is not permitted on test data and will be grounds for disqualification.