Published Paper Details:

Skin problems are a basic in general clinical issue related with colossal number of individuals. With the speedy improvement of degrees of progress and the use of different information mining procedures of late, the movement of dermatological discerning arrangement has become logically smart and careful. Along these lines, movement of PC based insight systems, which can actually seclude dermatology infirmity gathering, is essential. The inspiration driving this work is to evaluate the introduction of PC put together insight systems with respect to skin problems check using Naive Bayes and Logistic Regression assessments. The exhibition of the appraisals is evaluated through after execution appraisals: exactness, accuracy and audit. The best result among two computations for as a rule rate was achieved by Logistic Regression model with a speed of 98.56%. This approach could improve and work with the procedure of portray the sort of skin torment in six outstanding classes. We show that the Logistic Regression performs best among others to the extent that precision.