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MetricDataPoint

Source code in docs_src/capo_frauddetector/types/metric_data_point.py 
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class MetricDataPoint(TypedDict, closed=True):
    fpr: NotRequired["capo_frauddetector.types.float.float"]
    """<p>The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.</p>"""
    precision: NotRequired["capo_frauddetector.types.float.float"]
    """<p>The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.</p>"""
    tpr: NotRequired["capo_frauddetector.types.float.float"]
    """<p>The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.</p>"""
    threshold: NotRequired["capo_frauddetector.types.float.float"]
    """<p>The model 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.</p>"""

fpr instance-attribute 

fpr: NotRequired[float]

The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.

precision instance-attribute 

precision: NotRequired[float]

The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.

threshold instance-attribute 

threshold: NotRequired[float]

The model 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.

tpr instance-attribute 

tpr: NotRequired[float]

The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.