Unverified50% confidenceFactExact time
The DECIDE framework is a model-free framework that quantifies the importance of each decision directly from actual outcomes in the space of reasonable decisions, without relying on any surrogate model's coefficients or feature importance.
1
Sources
50%
Confidence
Long-term
Relevance
10/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe model-free aspect of DECIDE does not mean that no statistical computation is used, but that importance is not inferred by relying on a surrogate predictive model from decisions to outcomes.75% similarUnverifiedA decision model is essentially a reusable set of judgment logic, which can be as simple as a decision tree or a set of weighted scoring rules.75% similarVerifiedThe output of a judgment-type decision model is a closed, structured result, which is essentially a classification or regression task involving a single forward pass, with no autoregressive iteration overhead.73% similarUnverifiedA decision model is a type of model designed specifically for making choices among a limited set of options, with output constrained to a predefined structure, and its fundamental difference from generative models lies in the output space.73% similarUnverifiedThe decision model does not produce a free-form token stream, but instead evaluates the current state against a bounded hypothesis space.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1113804API
curl https://kongchang.com/api/v1/knowledge/claims/1113804MCP
get_claim(id=1113804)