- Resampling Imbalanced Data and Its Limits - Dec 22, 2020.
Can resampling tackle the problem of too few fraudulent transactions in credit card fraud detection?
Balancing Classes, Bootstrap sampling, Fraud Detection, Knime, Sampling, Unbalanced
21 Must-Know Data Science Interview Questions and Answers - Feb 11, 2016.
KDnuggets Editors bring you the answers to 20 Questions to Detect Fake Data Scientists, including what is regularization, Data Scientists we admire, model validation, and more.
Pages: 1 2 3
Bootstrap sampling, Data Science, Interview Questions, Kirk D. Borne, Precision, Recall, Regularization, Yann LeCun
- How to Check Hypotheses with Bootstrap and Apache Spark - Jan 28, 2016.
Learn how to leverage bootstrap sampling to test hypotheses, and how to implement in Apache Spark and Scala with a complete code example.
Apache Spark, Bootstrap sampling, Dmitry Petrov, Statistical Analysis
- New Hybrid Rare-Event Sampling Technique for Fraud Detection - Apr 26, 2015.
Proposed hybrid sampling methodology may prove useful when building and validating machine learning models for applications where target event is rare, such as fraud detection.
Bootstrap sampling, Fraud Detection, Sampling
- 3 Ways to Test the Accuracy of Your Predictive Models - Feb 8, 2014.
3 different methods for testing accuracy of predictive models from 3 leading analytics experts - Karl Rexer, John Elder, and Dean Abbott explain using lift charts, randomization testing, and bootstrap sampling.
Bootstrap sampling, Dean Abbott, Decile tables, John Elder, Karl Rexer, Lift charts, Predictive Models, Randomization, Target shuffling
