Tag: metrics
-
How Metrics (and LLMs) Can Trick You: A Field Guide to Paradoxes
How Metrics (and LLMs) Can Trick You: A Field Guide to Paradoxes When numbers lie — and your metrics mislead you The post How Metrics (and LLMs) Can Trick You: A Field Guide to Paradoxes appeared first on Towards Data Science. Subha Ganapathi Go to original source
-
Making Sense of KPI Changes
Making Sense of KPI Changes As analysts, we are usually monitoring metrics. Quite often, metrics change. And when they do, it’s our job to figure out what’s going on: why did the conversion rate suddenly drop, or what is driving consistent revenue growth? I started my journey in data analytics as a Kpi analyst. For almost…
-
Practical Evaluation of Copula-based Survival Metrics: Beyond the Independent Censoring Assumption
Practical Evaluation of Copula-based Survival Metrics: Beyond the Independent Censoring Assumption arXiv:2502.19460v1 Announce Type: new Abstract: Conventional survival metrics, such as Harrell’s concordance index and the Brier Score, rely on the independent censoring assumption for valid inference in the presence of right-censored data. However, when instances are censored for reasons related to the event of…
-
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks arXiv:2501.04234v1 Announce Type: new Abstract: Modern artificial intelligence is supported by machine learning models (e.g., foundation models) that are pretrained on a massive data corpus and then adapted to solve a variety of downstream tasks. To summarize performance across multiple tasks, evaluation metrics are…