article · International Journal of Research Publications · 2020

Car Data Analysis by Using ID3 Algorithm

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Abstract

ID3 (Iterative Dichotomiser 3) is sub-subject of AI(Artificial Intelligent). Today’s car buyers need to know the news of car. ID3 algorithm can analyze car data to show the buyers the prediction of news of car they specified to buy so that they can decide good buying or not. With ID3 algorithm, ‘car.data’ file was used and it’s features are buying, maint, doors, persons, lug_boot, safety and it’s target is Decision. The values of target are ‘unacc’, ‘acc’, ‘good’ and ‘vgood’. As first step, the given data is trained with entropy and information gain methods to produce rule and in second step use the rule to test the sample data for prediction of output target. The ‘car.data’ file was downloaded from google.com and python code was used for implementation of data analysis.

Cite this paper

APA 7

Cho, A. (2020). Car Data Analysis by Using ID3 Algorithm. International Journal of Research Publications, 52(1), 3. https://doi.org/10.47119/ijrp100521520201110

MLA 9

Cho, Aung. “Car Data Analysis by Using ID3 Algorithm.” International Journal of Research Publications, vol. 52, no. 1, 2020, p. 3, https://doi.org/10.47119/ijrp100521520201110.

Chicago

Cho, Aung. 2020. “Car Data Analysis by Using ID3 Algorithm.” International Journal of Research Publications 52 (1): 3. https://doi.org/10.47119/ijrp100521520201110.

Harvard

Cho, A. (2020) ‘Car Data Analysis by Using ID3 Algorithm’, International Journal of Research Publications, 52(1), p. 3. Available at: https://doi.org/10.47119/ijrp100521520201110.

BibTeX

@article{cho2020data,
  title = {{Car Data Analysis by Using ID3 Algorithm}},
  author = {Cho, Aung},
  journal = {International Journal of Research Publications},
  volume = {52},
  number = {1},
  pages = {3},
  year = {2020},
  doi = {10.47119/ijrp100521520201110}
}

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