Question

The Predictive Model Markup Language (PMML) is a ____________________________.

a. collection of terminologies used in predictive analytics
b. means to share predictive models across applications
c. language to display Predictive Model
d. results in XML format Pega proprietary
e. format to store predictive models

Answer 1

PMML is a standardized XML-based language that allows for the transferability of predictive models across different software and applications. It is used to describe various data mining models, enabling the integration and interoperability of PMML-compliant systems.

Step-by-step explanation:

The Predictive Model Markup Language (PMML) is a, means to share predictive models across applications. PMML is an XML-based language that allows for the definition and sharing of predictive models between different statistical software and applications. Created by the Data Mining Group, PMML enables users to develop a model on one system and deploy it on another, supporting a wide range of machine learning and statistical modeling techniques.

PMML describes the data mining models in a standard way, which includes data preprocessing, model parameters, and model outputs. This standardization allows for the seamless integration and interoperability between PMML-compliant systems, facilitating the predictive analytics process.