6 secrets of building better models part one: bootstrap aggregation

Many analysts who are interested in building predictive models invest a lot of their time and effort in trying to understand how to best tune the parameters of the specific technique that they are using, whether that technique be logistic regression or a neural network, and they are doing this in order to achieve the best accuracy of the resultant model. In this series of videos we look at some often overlooked approaches that can be applied in the same way to a wide variety of algorithms and which may lead to better predictive accuracy. In all of our examples […]

6 secrets of building better models part two: boosting

Many analysts who are interested in building predictive models invest a lot of their time and effort in trying to understand how to best tune the parameters of the specific technique that they are using, whether that technique be logistic regression or a neural network, and they are doing this in order to achieve the best accuracy of the resultant model. In this series of videos we look at some often overlooked approaches that can be applied in the same way to a wide variety of algorithms and which may lead to better predictive accuracy. In all of our examples […]

6 secrets of building better models part three: feature engineering

Many analysts who are interested in building predictive models invest a lot of their time and effort in trying to understand how to best tune the parameters of the specific technique that they are using, whether that technique be logistic regression or a neural network, and they are doing this in order to achieve the best accuracy of the resultant model. In this series of videos we look at some often overlooked approaches that can be applied in the same way to a wide variety of algorithms and which may lead to better predictive accuracy. In all of our examples […]

6 secrets of building better models part four: ensemble modelling

Many analysts who are interested in building predictive models invest a lot of their time and effort in trying to understand how to best tune the parameters of the specific technique that they are using, whether that technique be logistic regression or a neural network, and they are doing this in order to achieve the best accuracy of the resultant model. In this series of videos we look at some often overlooked approaches that can be applied in the same way to a wide variety of algorithms and which may lead to better predictive accuracy. In all of our examples […]

6 secrets of building better models part five: meta models

Many analysts who are interested in building predictive models invest a lot of their time and effort in trying to understand how to best tune the parameters of the specific technique that they are using, whether that technique be logistic regression or a neural network, and they are doing this in order to achieve the best accuracy of the resultant model. In this series of videos we look at some often overlooked approaches that can be applied in the same way to a wide variety of algorithms and which may lead to better predictive accuracy. In all of our examples […]

6 secrets of building better models part six: split models

Many analysts who are interested in building predictive models invest a lot of their time and effort in trying to understand how to best tune the parameters of the specific technique that they are using, whether that technique be logistic regression or a neural network, and they are doing this in order to achieve the best accuracy of the resultant model. In this series of videos we look at some often overlooked approaches that can be applied in the same way to a wide variety of algorithms and which may lead to better predictive accuracy. In all of our examples […]

A first look at SPSS Modeler v18.2

In this video Jarlath Quinn takes a first look at SPSS Modeler v18.2 and demonstrates some of the new functionality that’s included within this release. IBM® SPSS® Modeler adds the following features in this release. New look and feel. A new modern interface theme is available via Tools > User Options > Display. For instructions on switching to the new theme. New data views. You can now right-click a data node and select View Data to examine and refine your data in new ways with advanced data visualizations. IBM Data Warehouse. Database modeling with IBM Netezza Analytics now supports IBM Data Warehouse. Gaussian Mixture node. A new Gaussian Mixture node is available on […]

Introduction to the filter node in SPSS Modeler

This is the third in a regular series of videos about SPSS Modeler, designed to help you better understand some of the functions that are available within the package. If you’re an experienced user or you have been on one of our training courses then you’ll probably already be familiar with most of these, but if you’re a new user, you’re self-taught, or you’re currently evaluating the software then there’s likely to be a number of things in these videos that you’ll find helpful. Sometimes you may have problems with your data issues not related so much to the values of […]