Copyright | (c) 2013-2023 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | Safe-Inferred |
Language | Haskell2010 |
Synopsis
- data ATIMetricDataPoint = ATIMetricDataPoint' {}
- newATIMetricDataPoint :: ATIMetricDataPoint
- aTIMetricDataPoint_adr :: Lens' ATIMetricDataPoint (Maybe Double)
- aTIMetricDataPoint_atodr :: Lens' ATIMetricDataPoint (Maybe Double)
- aTIMetricDataPoint_cr :: Lens' ATIMetricDataPoint (Maybe Double)
- aTIMetricDataPoint_threshold :: Lens' ATIMetricDataPoint (Maybe Double)
Documentation
data ATIMetricDataPoint Source #
The Account Takeover Insights (ATI) model performance metrics data points.
See: newATIMetricDataPoint
smart constructor.
ATIMetricDataPoint' | |
|
Instances
newATIMetricDataPoint :: ATIMetricDataPoint Source #
Create a value of ATIMetricDataPoint
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:adr:ATIMetricDataPoint'
, aTIMetricDataPoint_adr
- The anomaly discovery rate. This metric quantifies the percentage of
anomalies that can be detected by the model at the selected score
threshold. A lower score threshold increases the percentage of anomalies
captured by the model, but would also require challenging a larger
percentage of login events, leading to a higher customer friction.
$sel:atodr:ATIMetricDataPoint'
, aTIMetricDataPoint_atodr
- The account takeover discovery rate. This metric quantifies the
percentage of account compromise events that can be detected by the
model at the selected score threshold. This metric is only available if
50 or more entities with at-least one labeled account takeover event is
present in the ingested dataset.
$sel:cr:ATIMetricDataPoint'
, aTIMetricDataPoint_cr
- The challenge rate. This indicates the percentage of login events that
the model recommends to challenge such as one-time password,
multi-factor authentication, and investigations.
$sel:threshold:ATIMetricDataPoint'
, aTIMetricDataPoint_threshold
- The model's threshold that specifies an acceptable fraud capture rate.
For example, a threshold of 500 means any model score 500 or above is
labeled as fraud.
aTIMetricDataPoint_adr :: Lens' ATIMetricDataPoint (Maybe Double) Source #
The anomaly discovery rate. This metric quantifies the percentage of anomalies that can be detected by the model at the selected score threshold. A lower score threshold increases the percentage of anomalies captured by the model, but would also require challenging a larger percentage of login events, leading to a higher customer friction.
aTIMetricDataPoint_atodr :: Lens' ATIMetricDataPoint (Maybe Double) Source #
The account takeover discovery rate. This metric quantifies the percentage of account compromise events that can be detected by the model at the selected score threshold. This metric is only available if 50 or more entities with at-least one labeled account takeover event is present in the ingested dataset.
aTIMetricDataPoint_cr :: Lens' ATIMetricDataPoint (Maybe Double) Source #
The challenge rate. This indicates the percentage of login events that the model recommends to challenge such as one-time password, multi-factor authentication, and investigations.
aTIMetricDataPoint_threshold :: Lens' ATIMetricDataPoint (Maybe Double) Source #
The model's threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.