1) PFA: Predictive Failure Analysis
2) PFA: Portable Format for Analytics
1) PFA Full Form (Predictive Failure Analysis)
PFA full form stands for Predictive Failure Analysis. Predictive failure analysis (PFA) refers to methods intended to predict immediate failure of systems or components (software or hardware) and to avoid or combat cases of failure. Enables or suggests system maintenance prior to failure.
For example, computer mechanisms that analyze correct error trends to estimate future failures of hardware/memory components and enable pro-active mechanisms to avoid them. Predictive failure analysis was originally used as a term for a proprietary IBM technology to monitor the chances of hard disk drives failing. Although now the term is commonly used for various techniques to assess device failure.
2) PFA Full Form (Portable Format for Analytics)
PFA full form is Portable Format for Analytics. The Analytical Portable Format for Analytics (PFA) is a JSON-based Predictive Model interchange format developed and developed by Jim Pawarski. It supports general models such as logistics regression and the decision tree.
Version 0.8 was released in 2015. Later versions have been developed by Data Mining Group. The predictive model, developed by the Data Mining Group as an interchange format, complements the predictive model markup language or XML-based standard of PFADMG called PMML.
What Is The Full Form Of PFA?
PFA full form stands for Predictive Failure Analysis. It refers to methods intended to predict immediate failure of systems or components and to avoid or combat cases of failure.
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