Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS
Prediction in the Public Sector: Why the Government Need Predictive Analytics
 Originally published by Analytics Magazine This...
Analytics in the Brave New Customer Experience World
 Mobile marketing technology offers opportunities to...
Wise Practitioner – Predictive Analytics Interview Series: Tauseef Rahman at Mercer
 In anticipation of his upcoming conference...
Why Your Analytics Must Ask the Data “Good” Questions — Ones that Reduce Data
 The problem of monetizing Big Data,...
SHARE THIS:

2 years ago
Boosting Performance of Machine Learning Models

  People often get stuck when they are asked to improve the performance of existing predictive models. What usually they do is try different algorithms and check their results. But often they end up not improving the model. Here are some of the steps you can take to boost your existing models. Add more data: More data is always useful. It helps us capture all the variance that the data has. Sometimes we may not have the option to get additional data for training. Example when you are competing in data science competitions. But while working on client projects, you

To view this content
Login OR subscribe for free

Already receive the Predictive Analytics Times emails?
As of January 2014, the Predictive Analytics Times now requires legacy email subscribers to upgrade their subscription - one time only - in order to attain a password-protected login and gain complete access.

Click here to complete this one-time subscription upgrade

  

Existing Users Log In
   
New User Registration
*Required field

Comments are closed.