Don’t Be a Big Data Snooper - Calabrio

One of the biggest challenges that data scientists face is separating true predictors from false ones. When an airtight causal model can’t be created, data scientists often look to a secondary class of models based on correlations to accurately predict outcome. However, when using these models, great care must be taken to avoid falling victim to the data snooping bias. Read more from Datanami.

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