Prediction of research studies status on astrological data using machine learning (ML) classification techniques
Keywords:
astrology, machine learning (ML), 9th place planet, M999 planets score, WSMOTE, random forest, research studiesAbstract
Astrology specifies both past action as well as the future prediction which act as the subset of astronomy that have been represented in the Galaxy system. Horoscope chart is an astrological representation which involves the movement of nine planets located in twelve houses with periodic positional movements. Based on the horoscope representation, some of the houses are empty and others might contain one or more planets. Specifically, this research considered the 9thhouse of a horoscope which focuseson individual education and higher studies including research etc.Generally, 4th house signifies the education of the individual person but 9th house is suggested for higher studies and it has been considered for the prosperous and blessed life. Initially, this research involved statistical Analysis of Mercury, 9th place, 9th place planet and 9th place planet from its 9th place (M999) planets which assist to obtain scores of mercury planet and those three 9th place scores. However, the acquired scores from the horoscope of 201 persons have helped to justify manually and provide recommendation but no validation. Therefore, this paper has focused on validating the M999 planets score using ML methods and compared with existing Kala Purusha Thathuva” (KPT).
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