Browsing by Subject "Predictive models"
Now showing items 1-4 of 4
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Autobin: a predictive approach towards automatic binning using data splitting
(SASA, 2018)The concept of binning is known by many names: discretisation, classing, grouping and quantisation. It entails the mapping of continuous or categorical data into discrete bins. Binning is an important pre-processing step ... -
The benefits of segmentation: evidence from a South African bank and other studies
(ASSAf, 2017)We applied different modelling techniques to six data sets from different disciplines in the industry, on which predictive models can be developed, to demonstrate the benefit of segmentation in linear predictive modelling. ... -
Comparing generalised additive neural networks with decision trees and alternating conditional expectations
(North-West University, 2008)In this dissertation generalised additive neural networks (GANNs), decision trees and alternating conditional expectations (ACE) are studied and compared as computerised techniques in the field of predictive data mining. ... -
An empirical investigation of alternative semi-supervised segmentation methodologies
(ASSAf, 2019)Segmentation of data for the purpose of enhancing predictive modelling is a well-established practice in the banking industry. Unsupervised and supervised approaches are the two main types of segmentation and examples of ...