Remove 2002 Remove Forecasting Remove Risk Remove Testing
article thumbnail

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

In their 2002 paper Chawla et al. 2002) have performed a comprehensive evaluation of the impact of SMOTE- based up-sampling. Their tests are performed using C4.5-generated 2002) provide an example that illustrates the modifications. Generation of artificial examples. Chawla et al., Chawla et al., O2 = {4,6,5,A,D,E}^T.

article thumbnail

Unintentional data

The Unofficial Google Data Science Blog

Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. In addition to the issues above, does the conclusion pass the smell test?

article thumbnail

SOX Compliance Guide

Jet Global

We’ve created a comprehensive guide to the Sarbanes-Oxley Act of 2002, also known as the SOX Act, to help you understand what’s in the act and why it’s important for your organization to have strong access controls and SOX compliant practices. What is SOX Compliance? Bush in July of the same year.