
Figure: Average number of records processed per hour for each Amazon EC2 instance type. The average is based on 10 different PMML models, with the fastest instance scoring over 300 million records per hour.
We used ten different predictive models, including various regression models, neural network, clustering and decision tree …

Figure: Average number of records processed per hour for each Amazon EC2 instance type. The average is based on 10 different PMML models, with the fastest instance scoring over 300 million records per hour.
We used ten different predictive models, including various regression models, neural network, clustering and decision tree algorithms which were created in several statistical tools and then exported in the Predictive Model Markup Language (PMML) standard. The PMML models subsequently were deployed and executed in the ADAPA Predictive Analytics Edition on Amazon EC2.
Comprehensive blog featuring topics related to predictive analytics with an emphasis on open standards, Predictive Model Markup Language (PMML), cloud computing, as well as the deployment and integration of predictive models in any business process.
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