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ARC Code TI: IND: Creation and Manipulation of Decision Trees from Data

Metadata Updated: December 6, 2023

IND is applicable to most data sets consisting of independent instances, each described by a fixed length vector of attribute values. An attribute value may be a number, one of a set of attribute specific symbols, or omitted. One of the attributes is delegated the 'target' and IND grows trees to predict the target. Prediction can then be done on new data or the decision tree printed out for inspection.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources


Metadata Created Date November 12, 2020
Metadata Updated Date December 6, 2023
Data Update Frequency irregular

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date December 6, 2023
Publisher Ames Research Center
Identifier OCIO-Fitara-121
Data First Published 2015-07-21
Data Last Modified 2020-01-29
Category Management/Operations
Public Access Level public
Data Update Frequency irregular
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 921b1665-b674-442c-8b56-45ec46585e30
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL
Program Code 026:046
Source Datajson Identifier True
Source Hash 9af680cb89c7211c47f3c9ff9da8186781bf47d8146db2dbb2638dda5335d181
Source Schema Version 1.1

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