Flipboard

MAY 25, 2025

Feature selection via the Boruta and LASSO algorithms preceded the construction of predictive models using Random Forest, Decision Tree, K-Nearest Neighbors, Support Vector Machine, LightGBM, and XGBoost. Demographic data, physiological status, and non-invasive test indicators were collected.

K-nearest Neighbors 81

K-nearest Neighbors Machine Learning Machine Learning Support Vector Machines 81

Flipboard

MAY 25, 2025

XGBoost achieved the highest accuracy (0.99) and perfect detection (1.00) of normal traffic and signal drift, outperforming Random Forest (0.98), Support Vector Machine (0.97), Logistic Regression (0.93), and K Nearest Neighbors (0.81).

K-nearest Neighbors 73

K-nearest Neighbors Machine Learning Machine Learning Support Vector Machines 73

IBM Journey to AI blog

DECEMBER 20, 2023

What is machine learning? ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

AWS Machine Learning Blog

FEBRUARY 25, 2025

Instead of treating each input as entirely unique, we can use a distance-based approach like k-nearest neighbors (k-NN) to assign a class based on the most similar examples surrounding the input. Diego Martn Montoro is an AI Expert and Machine Learning Engineer at Applus+ Idiada Datalab.

Algorithm 85

Algorithm Machine Learning Machine Learning K-nearest Neighbors 85

Pickl AI

SEPTEMBER 12, 2024

Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. Association Rule Learning: A rule-based Machine Learning method to discover interesting relationships between variables in large databases.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

PyImageSearch

SEPTEMBER 16, 2024

For example, in fraud detection, SVM (support vector machine) can classify transactions as fraudulent or non-fraudulent based on historically labeled data. For example, The K-Nearest Neighbors algorithm can identify unusual login attempts based on the distance to typical login patterns. That’s not the case.

Clustering 57

Clustering Algorithm Machine Learning Machine Learning 57