Comparative Analysis of Machine Learning Mode...

Comparative Analysis of Machine Learning Models on Iris Dataset

Author Name : Prateek Grewal, Prateek Sharma, Dr. Anu Rathee, Dr. Shikha Gupta

ABSTRACT

In this Digital Age, we are surrounded by technology and every single person is responsible for creating huge amounts of data on a regular basis. The Data in its Raw form might not mean much and will not be able to give us a lot of insights but we can use it after processing the data and making it more uniform. Then using different types of Machine Learning Algorithms we can draw a lot of insights and make use of that data to impact our lives in a positive manner. This Practice is already being carried out on a very large scale in todays world but as the field of Machine Learning and Artificial Intelligence has advanced a lot, we have so many different algorithms at our disposal but the problem is data can be of many different types and there is no one algorithm that fits the best in every case. Using a complex model might not be useful for a simple dataset or vice versa and this practice might cost a company a lot of time, money and even after that the results might not be the best. Our goal is to depict this and identify which type of Algorithm gives the highest accuracy for which type of Dataset and to depict this in its most basic form we are using the Iris Dataset.

Keywords : Machine Learning, Comparative Analysis, Iris Dataset, Algorithms, KNN, Logistic Regression, Decision Tree