Open AccessPrediction of Resale Value of the Car Using Linear Regression Algorithm
Author(s) -
Sapkota Kiran
Publication year - 2020
Publication title -
international journal of innovative science and research technology
Language(s) - English
Resource type - Journals
ISSN - 2456-2165
DOI - 10.38124/ijisrt20jul388
Subject(s) - linear regression , value (mathematics) , computer science , variable (mathematics) , regression analysis , statistics , field (mathematics) , regression , variables , basis (linear algebra) , correlation , econometrics , algorithm , data mining , mathematics , mathematical analysis , geometry , pure mathematics
The expected estimate for resale value of a car is most significant in the field of present research and technology. Most significant attributes are considered for predicting the resale value of the car. The significant relationships among various attributes are found by establishing the correlations. In this research the price of the car is considered as dependent variable for target prediction .The data used for prediction was taken from web. The suitability of linear regression algorithm is identified and implemented in this research work for accurately predicting the resale value of the vehicle based on most significant attributes that are been selected on the basis of highest correlation. The outcome of the research shows that the accuracy of the model built is upto 90 percent and error obtained is 10 percent.