semvec/pypi-packages huggingface dataset:
ser-metric-mirza 12.0.2
This is the implementation of Slope Error Rate in python and written by Arsalan Rahman Mirza for more detail you can contact me with my second email address ersalen@gmail.com
Requires Python: >=3.8

Slope Error Rate (SER)

A Python implementation of Slope Error Rate (SER) — a novel performance evaluation metric for binary classification, designed to provide improved sensitivity and robustness under class imbalance, particularly for biometric authentication systems.

Overview

Slope Error Rate (SER) is a distance-based evaluation metric that quantifies the trade-off between False Acceptance Rate (FAR) and False Rejection Rate (FRR) across decision thresholds. Unlike traditional metrics such as Equal Error Rate (EER), which rely on a single operating point, SER captures error dynamics and provides a more informative assessment of classifier behavior.

SER is especially useful in applications where:

Data is highly imbalanced

False positives and false negatives have asymmetric costs

Threshold sensitivity matters

A lower SER value indicates better overall performance.

Key Features

Designed for binary classification

Robust under class imbalance

Threshold-sensitive evaluation

Based on FAR–FRR geometry

Lightweight and easy to integrate

Suitable for biometrics, spoof detection, anomaly detection, and security systems