Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. In their 2002 paper Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Data Science 136

IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 77

Measurement Metrics Reporting Strategy 77

Cloudera

DECEMBER 7, 2022

C (Cloudera is headquartered in the US, but we also recognize the superiority of the metric system). The second notable fact about the 2022 World Cup is that this is only the second World Cup to be held entirely in Asia, the first being the 2002 tournament held in South Korea and Japan.

Machine Learning 73

Machine Learning IoT Modeling Reporting 73

Domino Data Lab

JUNE 2, 2019

The most poignant for me was a simple approach for measuring noise within an organization. Measure how these decisions vary across your population. Then calculate the variance divided by the mean to construct a metric for noise in decision-making. For kicks, try calculating this kind of metric within your own organization.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Looking at metrics of interest computed over subpopulations of large data sets, then trying to make sense of those differences, is an often recommended practice (even on this very blog).

Experimentation 62

Experimentation Testing Statistics Metrics 62

Analytics Vidhya

MARCH 21, 2025

Unlike image recognition or numerical predictions, language quality assessment doesn’t yield to simple binary measurements. Enter BLEU (Bilingual Evaluation Understudy), a metric that has become the cornerstone of machine translation evaluation since its introduction by IBM researchers in 2002.

Metrics 239

Metrics Modeling Measurement Analytics 239

David Menninger's Analyst Perspectives

JANUARY 28, 2025

The need to account for these considerations in parallel with financial accounting began growing early in the century and accelerated as governments and regulatory authorities began to require companies to measure and document activities and outcomes. This is not a given. This is not a given.

Software 130

Software Management Metrics Data Collection 130