Online Mobile Price Prediction using Machine Learning

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Miss. A. Renuka, Mr. Veer Sudheer Goud


To predict “If the mobile with given features will be Economical or Expensive” is the main motive of this research work. Real Dataset is collected from website Different feature selection algorithms are used to identify and remove less important and redundant features and have minimum computational complexity. Different classifiers are used to achieve as higher accuracy as possible. Results are compared in terms of highest accuracy achieved and minimum features selected. Conclusion is made on the base of best feature selection algorithm and best classifier for the given dataset. This work can be used in any type of marketing and business to find optimal product (with minimum cost and maximum features). To predict the accuracy of the mobile price range.

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