KNN Accuracy vs K, Overfit/Underfit/Ideal? : r/learnmachinelearning

Thermodynamically-guided machine learning modelling for predicting the glass-forming ability of bulk metallic glasses

Multi-resistant diarrheagenic Escherichia coli identified by FTIR and machine learning: a feasible strategy to improve the group classification - RSC Advances (RSC Publishing) DOI:10.1039/D3RA03518B

Comparison of four machine learning algorithms for a pre-impact fall detection system

Hybrid stacking ensemble algorithm and simulated annealing optimization for stability evaluation of underground entry-type excavations - ScienceDirect

Overfitting and Underfitting in Machine Learning - Javatpoint

Application of Wavelet Decomposition and Ma-Chine Learning for the sEMG Signal Based Ges-Ture Recognition

Finding optimal strategies for river quality assessment using machine learning and deep learning models

A fault detection strategy for an ePump during EOL tests based on a knowledge-based vibroacoustic tool and supervised machine learning classifiers

How does one “learn” machine learning models? - Quora

Using Learning Curves - ML - GeeksforGeeks