Kicker Modeling: Part 1

I created a kicker score to summarize both the season’s actual and predicted values into a single number. Each field goal made is worth one, and attempts are negatively weighted based on distance and ...
How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
The American Journal of Managed Care

AI Model Accurately Predicts PH Risk in Patients With CKD

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
Lupus Science & Medicine

Detection rate, demographic associations and clinical implications of anti-C1q antibody elevations across diverse disease states

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
Scientific Research Publishing

The Impact of Digital Transformation on Six Commercial Banks Performance in Botswana ()

Njoku, C. and Bonang, M. (2025) The Impact of Digital Transformation on Six Commercial Banks Performance in Botswana. Open Journal of Business and Management, 13, 3875-3893. doi: ...
The American Journal of Managed Care

Value-Based Care Interventions and Management of CKD Progression

Patients with chronic kidney disease (CKD) stages 3b or 4 experienced slower decline in estimated glomerular filtration rate 20 months after enrollment in a value-based kidney care program. Objectives ...
Sports Illustrated

Texas vs. Florida score prediction by expert football model

Texas hits the road in its SEC opener against Florida as college football’s Week 6 action kicks off on Saturday. Here is the latest prediction for the game from a series of expert models that simulate ...
C&EN

BiDir-GRCO: A Bidirectional General Reaction Conditions Optimization Framework Integrating Multi-Armed Bandit and Regression Model

School of Artificial Intelligence, Guangxi Minzu University, No. 188, Daxue East Road, Xixiangtang District, Guangxi, Nanning 530006, China Guangxi Key Laboratories of Hybrid Computation and IC Design ...
IEEE

Adaptive Sparse Regression for Data-Driven Modeling and Control of Grid-Connected DFIG Wind Turbines

Abstract: This article aims to introduce a novel technique, adaptive sparse regression (ASR), for data-driven sparse model identification of doubly-fed induction generator (DFIG) wind turbine systems.
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
GitHub

Regression in llama2 model export

I used to be able to export llama2 model (as of last week) using the following script, but now using the latest 2.8.0 nightly build it runs into a fake tensor error ...