Prediction of Car Price When Using a Machine Learning Technique
Keywords:
Car Prediction, Support Vector Machines, Classification, Machine Learning.Abstract
A car price prediction has been high Area of interest research, as it requires noticeable effort and knowledge from the field expert. Considerable Number of different attributes are examined for Reliable and accurate prediction. To build a model for Predict the price of used cars in Bosnia and In Herzegovina we used three machine learning Techniques (Artificial Neural Network, Support Vector Machine and random forest). However, the Mentioned techniques were used to function as one Ensemble. The data used for the prediction were collected from the web portal autopijaca.ba using the web Scrape that was written in PHP programming Language. Respective performances of different Algorithms were then compared to find one that was best Fits available data set. The final prediction model was integrated into the Java application. Furthermore, it is the model was evaluated using test data and accuracy of 87.38% was obtained.
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