Slot: false_discovery_rate¶

Expected proportion of false discoveries

Applicable Classes¶

Name	Description	Modifies Slot
PerformanceMetrics	General performance metrics	yes
AIPerformanceMetrics	Performance metrics for AI assistance, extending general performance metrics ...	no

Properties¶

Type and Range¶

Property	Value
Range	Float
Domain Of	PerformanceMetrics

Cardinality and Requirements¶

Property	Value

Identifier and Mapping Information¶

Schema Source¶

from schema: https://open-and-sustainable.github.io/revaise-model/schema/stages/screening

Mappings¶

Mapping Type	Mapped Value
self	revaise:false_discovery_rate
native	revaise:false_discovery_rate

LinkML Source¶

name: false_discovery_rate
description: Expected proportion of false discoveries
from_schema: https://open-and-sustainable.github.io/revaise-model/schema/stages/screening
rank: 1000
domain_of:
- PerformanceMetrics
range: float