Lead Scoring Approaches : r/datascience - Reddit
Thread title names a repeated lead qualify judgment: Lead Scoring Approaches : r/datascience - Reddit
XNot a typed-decision job: needs written output, plain rules or lookups would do it, or needs raw image or audio. Also marks ideas that must not be built.2.49
Key facts
- Vertical
- Cross-industry
- Function
- Sales
- Status
- Seen in the wild
- Volume
- occasional
- Value
- minor
- Risk
- low
- Evidence
- question asked
- Flags
- check-fit
Source: https://www.reddit.com/r/datascience/comments/ghw1eu/lead_scoring_approaches/
Build this with a classifier
Define a typed decision with a bounded answer, then evaluate it on examples.
{
"decision_type": "choice",
"question": "Does this input match the decision in “Lead Scoring Approaches : r/datascience - Reddit”?",
"input": "<input to classify>",
"output": "one label from a fixed list"
}Related use cases
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