Can I read Machine Learning for Rock-Paper-Scissors on EtoBox?

Machine Learning for Rock-Paper-Scissors by mrsufyan2023 is a document available to read on EtoBox.

What is Machine Learning for Rock-Paper-Scissors about?

The document presents a study on machine learning image-based classification of the Rock-Paper-Scissors game using a dataset of 2,188 hand gesture images. It details the preprocessing steps, model selection, and evaluation metrics, highlighting the performance of various classifiers including SVM, Random Forest, XGBoost, LightGBM, and Logistic Regression. The results indicate that ensemble models like XGBoost and LightGBM outperform simpler classifiers, achieving high accuracy and other statistical metrics.

Author

mrsufyan2023

Language

EN