TY - DATA
T1 - Code underlying the publication: "PATE: Proximity-Aware Time series anomaly Evaluation"
PY - 2024/12/20
AU - Ramin Ghorbani
AU - Marcel Reinders
AU - David Tax
UR - 
DO - 10.4121/d8b0f4ab-3bd6-412b-88dd-f515d545aefd.v1
KW - Time Series
KW - Anomaly Detection
KW - Evaluation Metrics
KW - Precision
KW - Recall
N2 - <p>This repository provides the implementation of Proximity-Aware Time Series Anomaly Evaluation (PATE), a novel metric introduced to address the limitations of existing evaluation methods for time series anomaly detection. PATE incorporates proximity-based weighting with buffer zones around anomaly intervals to account for temporal complexities such as Early or Delayed detections, Onset response time, and Coverage level. It computes a weighted version of the Area Under Precision and Recall curve, offering a more accurate and meaningful assessment of anomaly detection models. Experimental results validate PATE's ability to distinguish performance differences across various models and scenarios.</p>
ER -