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