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Astrological Prediction for Profession Doctor using Classification Techniques of Artificial Intelligence
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 122 - Number 15 |
| Year of Publication: 2015 |
| Authors: Neelam Chaplot, Praveen Dhyani, O. P. Rishi |
10.5120/21778-5052
|
Neelam Chaplot, Praveen Dhyani, O. P. Rishi . Astrological Prediction for Profession Doctor using Classification Techniques of Artificial Intelligence. International Journal of Computer Applications. 122, 15 ( July 2015), 28-31. DOI=10.5120/21778-5052
Abstract
Astrology can be an interesting example of the application of various classification techniques of artificial intelligence. In astrology, predictions about different aspects of human life are done based on the planetary position of the stars at the time of birth of a person. In this research work, the positions of the planets and stars at the time of the birth of a person are utilized. This information is used to predict the possibility of person to become doctor. Total 102 records were collected for the study out of that half of the records were of persons that were doctor and other half records of the persons that were not doctor by profession. Thereafter, various supervised classification techniques such as Logistic, Naïve Bayes, Simple Cart, Decision Stump, Decision Table and DTNB algorithm were used and results were compared for their accuracy.
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