2008, Knowledge Discovery, Measurement and Testing

Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. A/B testing is used widely in information technology companies to guide product development and improvements.

Modeling

Modeling Experimentation Knowledge Discovery Testing

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

This renders measures like classification accuracy meaningless. Their tests are performed using C4.5-generated note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). The use of multiple measurements in taxonomic problems. Chawla et al.,

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

Data Leaders Brief

Experiment design and modeling for long-term studies in ads

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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