HAMILTON, New Zealand, 15 November 2010 – 11Ants Analytics today introduced
automated ensemble building, a new feature in 11Ants Model Builder – a
powerful data mining and predictive analytics tool. The new feature allows
users to quickly build and evaluate thousands of ensemble permutations.
Ensembles are recognized to increase the predictive power of models, and are
a valuable tool in any data mining expert’s arsenal. The announcement was
made at its U.K launch at Predictive Analytics World conference in London.
“The challenge has been that construction of the best performing ensembles
has required a good working knowledge and been an extremely time consuming
task – with the final result usually representing a compromise between time
available and predictive accuracy achieved,” says Tom Fuyala, Director,
Business Development, 11Ants Analytics. “With the automated ensemble
building feature in 11Ants Model Builder this problem has been eliminated.”
Through its revolutionary approach, 11Ants Model Builder enables anyone who
can use Excel to mine their own data and build powerful predictive models;
with the power and automation to benefit the most advanced analytic
researchers and practitioners. This assists in providing more accurate
insights to business, government and science challenges from recommendation
systems to fault diagnosis, and scientific research to fraud detection.
“Users are impressed by the approaches 11Ants Model Builder offers, not
least the ease of use. Users particularly like that they can build models
quickly within Excel, without the set up involved in previous generation
tools,” says Mr. Fuyala. “The addition of this feature makes ensembles
accessible to people who don’t even know exactly what an ensemble is, let
alone understand the inner workings of one. The true value is that users are
empowered to increase predictive accuracy without having to be schooled on
the details of the latest research – this is what is important.”
11Ants Model Builder opens whole new possibilities for even the first time
data miner to unlock useful information from data. The software’s benefits
are not limited to non-technical users; experienced data miners are freed up
from traditionally time consuming and repetitive tasks with features such as
automated algorithm selection, automated tuning parameter optimization,
automated variable selection, automated model evaluation and now automated
ensemble building.
11Ants Model Builder simplicity is due to its embedded HyperLearn
technology, which does the complex work for the user, and is based on a
library of 11 machine learning algorithms including decision tree (similar
to CART), Gaussian processes, logistic regression, logit boost, model tree,
naive Bayes, nearest neighbour, partial least squares (PLS), random forest,
Ridge regression, and support vector machine.
The company joins a global gathering of top predictive analytics experts,
practitioners, authors and business thought leaders at Predictive Analytics
World, 15-16 November in London. Key speakers include John F. Elder, CEO and
Founder, Elder Research Inc., Usama Fayyad, CEO, Open Insights, Former Chief
Data Officer, Yahoo!, and Eric Siegel, Conference Chair. Conference sessions
cover business applications of predictive analytics including risk
management, uplift modeling, open source analytics, crowdsourcing data
mining, campaign targeting, churn modeling, next-best-offer, selecting
marketing channels, global analytics deployment, email marketing, and HR
candidate search.
A free 14 day trial of 11Ants Model Builder can be downloaded from
http://www.11antsanalytics.com
