ARC Code TI: IND: Creation and Manipulation of Decision Trees from Data
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[ "026:00" ] |
| contactPoint |
{ "fn": "Dennis Koga", "@type": "vcard:Contact", "hasEmail": "mailto:dennis.koga@nasa.gov" } |
| description | 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. |
| distribution |
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| identifier | OCIO-Fitara-121 |
| issued | 2015-07-21 |
| keyword |
[ "data-processing", "decision-tree", "ind", "manipulation", "prediction" ] |
| landingPage | http://ti.arc.nasa.gov/opensource/projects/ind/ |
| modified | 2025-03-31 |
| programCode |
[ "026:046" ] |
| publisher |
{ "name": "Ames Research Center", "@type": "org:Organization" } |
| theme |
[ "Management/Operations" ] |
| title | ARC Code TI: IND: Creation and Manipulation of Decision Trees from Data |
