# Car Evaluation

## Classify Car Evaluation

Background:

The counting and classification of vehicles is an important part of transportation engineering. In the past 20 years many automated systems have been developed to accomplish that labor intensive task. Unfortunately, most of those systems are characterized by inaccurate detection systems and/or classification methods that result in many classification errors, thus limiting the accuracy of the system. Based on the data you are given, accurately classify the car evaluation.

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.