About this document

Machine Learning for Skin Disease Prediction by shiva811891 is a document available to read on EtoBox.

This research paper explores the use of machine learning algorithms, specifically binary classification and multi-model ensemble techniques, for predicting skin diseases such as psoriasis and dermatitis. The study utilizes a dermatology database with 34 attributes to develop classifiers using methods like k-nearest neighbors and support vector machines, employing techniques like ten-fold cross-validation to assess accuracy. The findings highlight the potential of machine learning in improving the accuracy o

Author

shiva811891

Language

EN