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

CIO Business Intelligence

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. According to Mohammed, the results of this digital transformation journey are measurable and impressive.

Digital Transformation 119

Digital Transformation Dashboards Data Science Reporting 119

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation. What is to be done? 109:2211–2213. [3]

Experimentation 62

Experimentation Testing Statistics Metrics 62

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. Compliance with environmental reporting laws is challenging for at least four reasons.

Software 130

Software Management Metrics Data Collection 130