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NVIDIA Kumo relational beats XGBoost on enterprise databases without feature engineering

Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise ...
BIOENGINEER

Large language model prompting strategies show no stable advantage for predicting SDS screen-positive status in university students

A study of 6,395 Chinese university students found competitive performance from some LLM prompting strategies but no stable ...
BIOENGINEER

Machine learning predicts self-reported anger improvement in teens

A comparative machine-learning study found that meditation, behavioral and lifestyle survey data can predict self-reported ...
Devdiscourse

AI Flood Forecasting: Why High Accuracy Alone Cannot Guarantee Safer Alerts

A research team in eastern Sri Lanka developed a prototype that combines connected sensors with artificial intelligence to ...

Introduction to Predictive Model Performance (Week of 10/5)

We have updated the content regarding Slack.Introduction　We received more interest than expected in the 9/28 week predictive ...
InfoWorld

Time series forecasting with XGBoost and InfluxDB

XGBoost is a popular open source machine learning library that can be used to solve all kinds of prediction problems. Here’s how to use XGBoost with InfluxDB. XGBoost is an open source machine ...
technologynetworks

Random Forests, XGBoost, and Gradient Boosting in Biological Data Analysis

Random forest and gradient boosting algorithms, including XGBoost, have become dependable tools for analyzing biological data because they tolerate messy, mixed-type inputs without extensive ...