Retrieve list of predictive scoring models

Request

Retrieve a list of predictive scoring models in the specified parent segment.

Security

TdApikeyAuth

Path

audienceIdinteger, (int64)required

Master Segment id of the predictive segment

curl -i -X GET \
  'https://api-cdp.treasuredata.com/audiences/{audienceId}/predictive_segments' \
  -H 'Authorization: YOUR_API_KEY_HERE'

Responses

successful operation

Bodyapplication/json

Array [

audienceIdstring, (integer)

idstring, (integer)

baseSegmentIdstring or null, (integer)

segmentIdstring, (integer)

scoredSegmentIdstring or null, (integer)

namestring

descriptionstring or null

categoricalAsColumnNamesArray of strings

categoricalArrayAsColumnNamesArray of strings

quantitativeAsColumnNamesArray of strings

accuracynumber or null, (double), [ 0 .. 100 ](PredictiveSegmentAccuracy)

Accuracy for trained model evaluated on initial training.

areaUnderRocCurvenumber or null, (double), [ 0 .. 1 ](PredictiveSegmentAreaUnderRocCurve)

Evaluation score for the model. See also https://en.wikipedia.org/wiki/Receiver_operating_characteristic#Area_under_the_curve

gradeThresholdsArray of numbers, = 3 items(PredictiveSegmentGradeThresholds)

Given the items [a, b, c], they must meet the condition a >= b >= c

Example:

createdAtstring, (date-time)

updatedAtstring, (date-time)

]

Response

[
  {
    "audienceId": "string",
    "id": "string",
    "baseSegmentId": "string",
    "segmentId": "string",
    "scoredSegmentId": "string",
    "name": "string",
    "description": "string",
    "categoricalAsColumnNames": [ … ],
    "categoricalArrayAsColumnNames": [ … ],
    "quantitativeAsColumnNames": [ … ],
    "accuracy": 100,
    "areaUnderRocCurve": 1,
    "gradeThresholds": [ … ],
    "createdAt": "2019-08-24T14:15:22Z",
    "updatedAt": "2019-08-24T14:15:22Z"
  }
]