Frontiers

A machine-learning-assisted logistic regression model for predicting post-operative delirium in older adults undergoing total knee arthroplasty

Post-operative delirium (POD) is a common complication in older adults undergoing total knee arthroplasty (TKA). Procedure-specific predictive models remain limited. This study aimed to develop a ...
GitHub

From Data to Discovery — Lessons from the Titanic Project

This academic project connects class questions to reproducible evidence. It keeps the exact professor questions, day-wise preparation, generated plots/tables/metrics, a leakage-safe baseline, and ...
Frontiers

A machine learning approach with SHAP interpretability for classifying drug craving levels

Drug addiction is a chronic relapsing brain disease. Drug craving is the strongest independent predictor of relapse. However, traditional linear models often fail to capture complex non-linear ...
PNAS

Comparing variable selection and model averaging methods for logistic regression

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
Scientific Research Publishing

Breiman, L. (1996) Bagging Predictors. Machine Learning, 24, 123-140.

ABSTRACT: Credit risk assessment is a fundamental component of banking operations, directly influencing lending decisions, capital allocation, pricing strategies, and regulatory compliance.
Scientific Research Publishing

Friedman, J., Hastie, T. and Tibshirani, R. (2000) Additive Logistic Regression: A Statistical View of Boosting (with Discussion and a Rejoinder by the Authors). The Annals of ...

ABSTRACT: Credit risk assessment is a fundamental component of banking operations, directly influencing lending decisions, capital allocation, pricing strategies, and regulatory compliance.
Game Rant

How to Destroy All ARC Machines Fast (Weak Points) in ARC Raiders

The dangerous ARC Machines that inhabit the Rust Belt are one of the most compelling aspects of ARC Raiders. From minor enemies like the Wasps to towering death machines like the Matriarch, there's no ...
databricks.com

What is Machine Learning? How It Works, Types and Use Cases

Machine learning acts as a bridge between raw data and action, helping organizations turn patterns in data into predictions, automation and more informed decisions. Different machine learning methods ...
IEEE

The Impact of Feature Scaling in Machine Learning: Effects on Regression and Classification Tasks

Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...
scirp.net

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
letsdatascience

Logistic Regression: Probabilities, Odds, and Classification

You're building a fraud detection system. Your linear regression model spits out a prediction of 1.5 for a transaction. What does 150% probability of fraud even mean? It doesn't. Linear regression can ...