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All Blog Posts Tagged 'decision trees' (3)

3 Must-Ask Questions Before Choosing That Machine Learning Algorithm!

You know that you want to build a predictive model. You've framed your problem in terms of classification or regression. You've prepared some training data (which took an age). Now there's just the small matter of choosing an appropriate algorithm.

You've heard or experienced first hand that Random Forests, Elastic Net Regression or Deep Belief Networks are "the business" and so you're going to use one of these (you've probably already verified that these algorithms are appropriate to…

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Added by Dr. Justin Washtell on November 3, 2014 at 3:00pm — 3 Comments

Hidden Decision Trees - A Better Approach to Scoring

Hidden Decision Trees is a statistical and data mining methodology (just like logistic regression, SVM, neural networks or decision trees) to handle problems with large amounts of data, non-linearities and strongly correlated independent variables.



The technique is easy to implement in any programming language. It is more robust than decision trees or logistic regression. Implementations typically rely heavily on large, granular hash tables.



No decision tree is… Continue

Added by Vincent Granville on March 17, 2009 at 10:30pm — 2 Comments

Scoring Internet Transactions for Fraud Detection

1. What is click fraud?



Click fraud is usually defined as the act of purposely clicking on ads on pay-per-click programs with no interest in the target web site. Two types of fraud are usually mentioned:



  • An advertiser clicking on competitor ads to deplete their ad spend budgets, with fraud frequently taking place early in the morning and through multiple distribution partners: AOL, Ask.com, MSN, Google, Yahoo, etc.
  • A malicious distribution partner…
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Added by Vincent Granville on December 8, 2008 at 3:30am — No Comments

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