Difference between revisions of "Random Forest in Data Analytics"
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==Design Structure Matrix (DSM) Allocation== | ==Design Structure Matrix (DSM) Allocation== | ||
[[File:Section 2.JPG]] | |||
The 3-RF tree that we can extract from the DSM above shows us that the Random Forest(3RF) is part of a larger data analysis service initiative on Machine Learning (ML), and Machine Learning is also part of a major marketing initiative (here we use online advertising as an example). Random Forest requires the following key enabling technologies at the subsystem level: Bagging (4BAG), Stacking (4STK), and Boosting (4BST). These three are the most common approaches in Random Forest, and are the technologies and resources at level 4. | |||
==Roadmap Model using OPM== | ==Roadmap Model using OPM== |
Revision as of 01:02, 8 October 2019
Technology Roadmap Sections and Deliverables
Unique identifier:
- 3RF-Random Forest
This is a “level 3” roadmap at the technology/capability level (see Fig. 8-5), where “level 1” would indicate a market level roadmap and “level 2” would indicate a product/service level technology roadmap.
Roadmap Overview
The high level workflow is depicted in the below.
Random forest is an ensemble Machine Learning technique to boost the accuracy of prediction of future, based on data from the past. “Wisdom of crowd” Building block is decision tree; a voting scheme is used to determine the final prediction Commonly used ensemble approaches are booting, bagging, and stacking
Design Structure Matrix (DSM) Allocation
The 3-RF tree that we can extract from the DSM above shows us that the Random Forest(3RF) is part of a larger data analysis service initiative on Machine Learning (ML), and Machine Learning is also part of a major marketing initiative (here we use online advertising as an example). Random Forest requires the following key enabling technologies at the subsystem level: Bagging (4BAG), Stacking (4STK), and Boosting (4BST). These three are the most common approaches in Random Forest, and are the technologies and resources at level 4.