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PMML: Accelerating the Time to Value for Predictive Analytics in the Big Data Era
Without ways to analyze and understand big data, it is of little use to your business. Predictive analytics tools help organizations sift through large data sets to extract insight and business value, but creating and integrating these models is complex and time consuming.
In order to accelerate the time to value for predictive analytics, predictive model markup language (PMML) was developed. Access this paper to discover the benefits of a high performing system built for running complex analytic models and how you can gain the following capabilities:
- Decision trees for classification and regression
- Scorecards with point allocation for categorical, continuous and complex attributes
- Linear and logistic models
- And more