Overview / Usage

A simple project using random forest algorithm in Intel's oneAPI Platform that is used to predict chronic kidney disease.

Methodology / Approach

It is a project where we predict chronic kidney disease using basic inputs given from the user. I had used random forest algorithm with Intel's oneDAL. Had achieved an accuracy of 88% and had done it to learn the difference between open source softwares like google colab and Intel oneAPI toolkit.

**Implementation of Intel oneAPI

** Intel's oneAPI Data Analytics Library (oneDAL) is a library that helps speed up big data analysis by providing highly optimized algorithmic building blocks for all stages of data analytics (preprocessing, transformation, analysis, modeling, validation, and decision making) in batch, online, and distributed processing modes of computation. Using this service of Intel oneAPI, I was able to increase the efficiency of my machine learning model significantly. The Intel oneDAL library helped me to speed up my processing time and gave me a better and increased accuracy of 88% that was 65% before. Thus, Intel oneAPI helped me a lot in optimizing my model and giving me a better performance.

Technologies Used

Intel oneAPI Toolkit ---> Intel oneDAL