Assertion: anomaly | /r/HasProperty | unlikely
Facets:
value: by definition
type: OTHER
value: statistically
type: DEGREE
Source sentences:
text: Machine learning algorithms typically require large amounts of data, since anomalies are by definition statistically unlikely (i.e., anomalous behavior is less likely than normal behavior), datasets are often imbalanced (i.e., there are more occurrences of normal behavior than of anomalous behavior), which presents additional challenges in training models that accurately identify or predict anomalies