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Tuesday, September 15 • 11:45am - 12:15pm
Competitive Analysis of the Top Gradient Boosting Machine Learning Algorithms - Sai Ayachit, Shyam R, Anubhav Singh & Vinayak Patil, The National Institute of Engineering

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Given the rapid increase in computing power and data-driven approaches to tackle many real-world problems today, ML has become an integral part of many solutions.As per a Kaggle survey in 2019, boosting algorithms are among the top 3 preferred methods used by data scientists. Their popularity is due to their robustness against overfitting, faster training times, ability to handle multimodal data while leaving a small memory footprint. In this paper, we compare four state-of-the-art gradient boosting algorithms XGBoost, CatBoost, LightGBM, and SnapBoost on 4 diverse datasets. We perform this competitive analysis on the IBM PowerAI AC922 server. This platform helps end-users experience faster iterations and training than the standard x86. Finally, we present the accuracy and training times of all the algorithms across the 4 datasets. We perform analysis using two approaches; One with only the baseline algorithms, and the other with systematic Hyperparameter Optimization with HyperOpt.

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Sai Ayachit

Student, The National Institute of Engineering
Sai is a final year undergraduate student at The National Institute of Engineering. Her recent work experience was with IBM under the Global Remote Mentorship(GRM) Program. She made significant contribution to the proposal "GENDER IDENTIFICATION OF SILKWORM PUPAE USING TRANSFER LEARNING... Read More →

Shyam R

Student, The National Institute of Engineering
Shyam is a final year computer science undergraduate at The National Institute of Engineering. He loves to solve challenging problems and explore various Tech-stacks. He is passionate about  Predictive Modelling, Deep Neural Networks, Adversarial models, and Inferential statistics... Read More →

Anubhav Singh

Student, The National Institute of Engineering
Anubhav is a CS undergraduate from The National Institute of Engineering. His interests lie in the emerging technologies like AI and blockchain and competitive coding. He strives to find an optimized solution for real world use cases. His competitive spirit has helped him excel in... Read More →

Vinayak Patil

Student, The National Institute of Engineering
Vinayak is majoring in Computer Science and Engineering at NIE, Mysuru. He likes to code and learn new technologies. He has expertise in various programming languages, Data Structures, and Algorithms. His work experience spans across various domains like Machine Learning, Deep Learning... Read More →

Tuesday September 15, 2020 11:45am - 12:15pm CDT
Track 4
  AI  Software
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