Gradient Boosting News Today

For this research, they tapped 250 commercial Belgian beers across 22 different beer styles representing a variety of alcohol levels.

This paper addresses the crucial issue of boardroom diversity and proposes a novel approach utilizing machine learning to predict gender diversity on the boards of Chinese publicly-traded companies from 2008 to 2017. The study employs tree-based boosting with under-sampling as the machine learning technique. Various tree-based boosting techniques are utilized, and the evaluation is based on accuracy, precision, recall, F1 scores, and ROC scores. The findings reveal that extreme Gradient Boosting...

CTOS Digital, a credit reporting agency based in Malaysia, has acquired FinScore, a PH-headquartered fintech startup, for about $5.9 million.

The latest machine learning addition to the Elixir ecosystem gives you the ability to use gradient boosting without leaving the Elixir ecosystem.

In its sophomore year in the business, Mocasa doubles down on its commitment to help bridge the fin

The design of double shear bolted connections in structural steel is governed by four different failure modes; tear out, splitting, net-section, and bearing. Ten machine learning (ML) approaches were explored on a comprehensive database of 455 experimental results for identifying the failure modes of double shear bolted connections. Among them, Random Forest (RF), CatBoost, XGBoost, and Gradient Boosting (GB) attained 90–92% accuracy on the testing dataset for classifying the failure modes. Th...

🏆 SOTA for General Classification on Shrutime (Accuracy metric)

Whale populations recovering from historical whaling are particularly vulnerable to incidental mortality and disturbance caused by growing ocean industrialization. Several distinct populations of rorqual whales (including humpback, blue, and fin whales) migrate and feed off the coast of Oregon, USA where spatial overlap with human activities are on the rise. Effective mitigation of conflicts requires better foundational understanding of spatial and temporal habitat use patterns to inform conserv...

A new research project has found that the discretionary decisions made by human bank managers can be replicated by machine learning systems to an accuracy of more than 95%. Using the same data available to bank managers in a privileged dataset, the best-performing algorithm in the test was a Rand

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