BIOENGINEER

XGBoost Algorithm Identifies Key Breast Cancer Risk Factors With High Accuracy

A machine learning study evaluating UCI breast tumor data demonstrated that the XGBoost model achieved 97.3 percent accuracy, ...
BIOENGINEER

Gradient Boosting Machine Learning Accurately Predicts Digital Health Platform Customer Churn

A comparative study demonstrates that optimized gradient boosting machine learning models reliably predict customer churn on ...
newswise

Interpretable Gradient Boosting Based Ensemble Learning and African Vultures Optimization Algorithm Optimization for Estimating Deflection Induced by Excavation

Newswise — With the rapid development of challenging construction projects such as super high-rise buildings, tunnels, and underground superstores, excavation is an inevitable part of these projects.
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 ...

Day 4 | Switching to a stronger model did not improve the ranking. What was missing was 'information'

Today's QuestionIf I switch to a method considered 'stronger' than the current baseline model (logistic regression using 17 ...
GitHub

treemethod.rst

Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow - ...