The Manila Times

myrtle.ai's VOLLO sets new STAC-ML records for gradient-boosted tree inference

Sub-2µs p99 latency and up to 50 million inferences per second in audited benchmarks unveiled today at STAC Summit London ...
BIOENGINEER

Old-School Trees Beat Attention Models in Student Performance Prediction, Rigorous Benchmark Finds

A leakage-aware benchmark of seven models across three educational datasets found that Gradient Boosting outperformed ...
BIOENGINEER

Grid-Based Decision Trees Finally Get the Guarantees They Always Needed

A new Machine Learning study shows that greedy decision tree algorithms can stall with zero purity gain, and introduces ...
Hospital + Healthcare

How effective are ML algorithms in ICU mortality predictions?

Testing two machine learning algorithms — extra trees and gradient boosting — a team including Australian researchers set out ...

Can Gradient Boosting Beat Logistic Regression After Tuning?

Last time, I compared five methods side-by-side using the same table and the same data split. The evaluation scores (Macro F1 ...

EQS-News: VOLLO von myrtle.ai stellt neue STAC-ML-Rekorde bei der Gradienten-Boosting-Baum-Inferenz auf

EQS-News: Myrtle.ai / Schlagwort(e): Sonstiges/Sonstiges VOLLO von myrtle.ai stellt neue STAC-ML-Rekorde bei der ...

VOLLO von myrtle.ai stellt neue STAC-ML-Rekorde bei der Gradienten-Boosting-Baum-Inferenz auf

myrtle.ai gab heute bekannt, dass sein VOLLO®-Inferenzbeschleuniger bei den STAC-ML Markets (Inference)-Benchmarks für Gradient-Boosted Trees neue Rekorde aufgestellt hat: Die Latenz im 99. Perzentil ...