The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Scientific Research Publishing

Linero, A.R. (2018) Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection. Journal of the American Statistical Association, 113, 626-636.

ABSTRACT: This study investigates the persistent academic impacts of the Head Start program, a federal government-funded early childhood intervention, using data from the Early Childhood Longitudinal ...
Hosted on MSN

Linear Regression In Python From Scratch | Simply Explained

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
IEEE

An autoML algorithm to select linear regression model and its performance evaluation for linear datasets

Abstract: This paper presents an autoML algorithm to select linear regression model and its performance evaluation for any linear dataset. It computes and compares the performance of various multiple ...
GitHub

Multiple Linear Regression in Statsmodels

This lesson will be more of a code-along, where you'll walk through a multiple linear regression model using both statsmodels and scikit-learn. Recall the initial regression model presented. It ...
BioSpace

Mission Bio Partners With Top Researchers From University of Miami to Accelerate Early Relapse Detection & Treatment Selection of Multiple Myeloma Patients

The study will present first-of-its-kind dataset from Mission Bio’s Tapestri Single-cell DNA Multiple Myeloma Panel to unlock understanding of MM relapse SOUTH SAN FRANCISCO, Calif.--(BUSINESS ...
C&EN

Evaluating the Suitability of Linear and Nonlinear Regression Approaches for the Langmuir Adsorption Model as Applied toward Biomass-Based Adsorbents: Testing Residuals and ...

Department of Chemical Engineering, University of Louisiana, Lafayette, Louisiana 70504, United States Energy Institute of Louisiana, University of Louisiana, Lafayette, Louisiana 70504, United States ...
Scientific Research Publishing

Gonzalez-Sanchez, A., Frausto-Solis, J. and Ojeda-Bustamante, W. (2014) Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction. The ...

ABSTRACT: In agriculture sector, machine learning has been widely used by researchers for crop yield prediction. However, it is quite difficult to identify the most critical features from a dataset.