Abstract: As we accumulate more and more data of people who smoke, and improving the calculation, exact investigation leads to conceivable and quitting cigarettes. Be that as it may, supposedly, little examination is been frequently conducted on people who regularly burn cigarettes, for example, at what time will he/she smoke. The framework designed will depict a model which dependent over the AI calculation to foresee day by day smoking time. The recreation informational index of smoking time information was built up by utilizing the populace data of smokers for illness control and avoidance. So as to take care of the issue of too little component data, we propose an element data extraction module.

Keywords: Machine learning, Supervised Machine Learning, Naive Bayes, Classification Rules

PDF | DOI: 10.17148/IJARCCE.2020.9630

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